Commit
·
9fea118
1
Parent(s):
49af62d
Fourth iteration with 1.9 million training records
Browse files- README.md +1 -1
- checkpoints/checkpoint-50000/trainer_state.json +0 -734
- checkpoints/checkpoint-50500/trainer_state.json +0 -741
- checkpoints/checkpoint-50606/trainer_state.json +0 -741
- checkpoints/{checkpoint-50000 → checkpoint-61500}/config.json +0 -0
- checkpoints/{checkpoint-50000 → checkpoint-61500}/generation_config.json +0 -0
- checkpoints/{checkpoint-50000 → checkpoint-61500}/model.safetensors +1 -1
- checkpoints/{checkpoint-50500 → checkpoint-61500}/optimizer.pt +1 -1
- checkpoints/{checkpoint-50606 → checkpoint-61500}/rng_state.pth +1 -1
- checkpoints/{checkpoint-50606 → checkpoint-61500}/scaler.pt +1 -1
- checkpoints/{checkpoint-50000 → checkpoint-61500}/scheduler.pt +1 -1
- checkpoints/{checkpoint-50000 → checkpoint-61500}/special_tokens_map.json +0 -0
- checkpoints/{checkpoint-50000 → checkpoint-61500}/spiece.model +0 -0
- checkpoints/{checkpoint-50000 → checkpoint-61500}/tokenizer.json +0 -0
- checkpoints/{checkpoint-50000 → checkpoint-61500}/tokenizer_config.json +0 -0
- checkpoints/checkpoint-61500/trainer_state.json +895 -0
- checkpoints/{checkpoint-50000 → checkpoint-61500}/training_args.bin +0 -0
- checkpoints/{checkpoint-50500 → checkpoint-62000}/config.json +0 -0
- checkpoints/{checkpoint-50500 → checkpoint-62000}/generation_config.json +0 -0
- checkpoints/{checkpoint-50500 → checkpoint-62000}/model.safetensors +1 -1
- checkpoints/{checkpoint-50000 → checkpoint-62000}/optimizer.pt +1 -1
- checkpoints/{checkpoint-50500 → checkpoint-62000}/rng_state.pth +1 -1
- checkpoints/{checkpoint-50500 → checkpoint-62000}/scaler.pt +1 -1
- checkpoints/{checkpoint-50606 → checkpoint-62000}/scheduler.pt +1 -1
- checkpoints/{checkpoint-50500 → checkpoint-62000}/special_tokens_map.json +0 -0
- checkpoints/{checkpoint-50500 → checkpoint-62000}/spiece.model +0 -0
- checkpoints/{checkpoint-50500 → checkpoint-62000}/tokenizer.json +0 -0
- checkpoints/{checkpoint-50500 → checkpoint-62000}/tokenizer_config.json +0 -0
- checkpoints/checkpoint-62000/trainer_state.json +902 -0
- checkpoints/{checkpoint-50500 → checkpoint-62000}/training_args.bin +0 -0
- checkpoints/{checkpoint-50606 → checkpoint-62228}/config.json +0 -0
- checkpoints/{checkpoint-50606 → checkpoint-62228}/generation_config.json +0 -0
- checkpoints/{checkpoint-50606 → checkpoint-62228}/model.safetensors +1 -1
- checkpoints/{checkpoint-50606 → checkpoint-62228}/optimizer.pt +1 -1
- checkpoints/{checkpoint-50000 → checkpoint-62228}/rng_state.pth +1 -1
- checkpoints/{checkpoint-50000 → checkpoint-62228}/scaler.pt +1 -1
- checkpoints/{checkpoint-50500 → checkpoint-62228}/scheduler.pt +1 -1
- checkpoints/{checkpoint-50606 → checkpoint-62228}/special_tokens_map.json +0 -0
- checkpoints/{checkpoint-50606 → checkpoint-62228}/spiece.model +0 -0
- checkpoints/{checkpoint-50606 → checkpoint-62228}/tokenizer.json +0 -0
- checkpoints/{checkpoint-50606 → checkpoint-62228}/tokenizer_config.json +0 -0
- checkpoints/checkpoint-62228/trainer_state.json +902 -0
- checkpoints/{checkpoint-50606 → checkpoint-62228}/training_args.bin +0 -0
- model.safetensors +1 -1
- src/data/__pycache__/generate_cyr_lat_pairs.cpython-312.pyc +0 -0
README.md
CHANGED
|
@@ -132,7 +132,7 @@ KazParC деректер жинағын жүктеп алу үшін сізге
|
|
| 132 |
|
| 133 |
- **DalaT5 v3**: 20 сәуірде дәл реттелген, 20 сәуірде қолжетімді болды. Жаттығу үшін ~1,6 миллион деректер жазбасы пайдаланылды. Үшінші итерация одан әрі жақсартуларды, сондай-ақ белгілі бір дәрежеде семантикалық түсінуді көрсетті / Fine-tuned on April 20, made available on April 20. Used ~1.6 million data records for training. Third iteration that showed further improvements, as well as some degree of semantic understanding
|
| 134 |
|
| 135 |
-
- **DalaT5 v4**:
|
| 136 |
|
| 137 |
---
|
| 138 |
|
|
|
|
| 132 |
|
| 133 |
- **DalaT5 v3**: 20 сәуірде дәл реттелген, 20 сәуірде қолжетімді болды. Жаттығу үшін ~1,6 миллион деректер жазбасы пайдаланылды. Үшінші итерация одан әрі жақсартуларды, сондай-ақ белгілі бір дәрежеде семантикалық түсінуді көрсетті / Fine-tuned on April 20, made available on April 20. Used ~1.6 million data records for training. Third iteration that showed further improvements, as well as some degree of semantic understanding
|
| 134 |
|
| 135 |
+
- **DalaT5 v4**: 23 сәуірде нақтыланған, 23 сәуірде қолжетімді болды. Жаттығу үшін ~1,9 миллион жазба (Wikipedia dump + CC100 + KazParC) пайдаланылды. Семантикалық түсініктің жоғарылауын көрсететін төртінші итерация / Fine-tuned on April 23, made available on April 23. Used ~1.9 million records (Wikipedia dump + CC100 + KazParC) for training. Fourth iteration that showed increased semantic understanding.
|
| 136 |
|
| 137 |
---
|
| 138 |
|
checkpoints/checkpoint-50000/trainer_state.json
DELETED
|
@@ -1,734 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"best_global_step": null,
|
| 3 |
-
"best_metric": null,
|
| 4 |
-
"best_model_checkpoint": null,
|
| 5 |
-
"epoch": 1.9760502707188872,
|
| 6 |
-
"eval_steps": 500,
|
| 7 |
-
"global_step": 50000,
|
| 8 |
-
"is_hyper_param_search": false,
|
| 9 |
-
"is_local_process_zero": true,
|
| 10 |
-
"is_world_process_zero": true,
|
| 11 |
-
"log_history": [
|
| 12 |
-
{
|
| 13 |
-
"epoch": 0.01976050270718887,
|
| 14 |
-
"grad_norm": 0.40364792943000793,
|
| 15 |
-
"learning_rate": 4.951092755799708e-05,
|
| 16 |
-
"loss": 2.1373,
|
| 17 |
-
"step": 500
|
| 18 |
-
},
|
| 19 |
-
{
|
| 20 |
-
"epoch": 0.03952100541437774,
|
| 21 |
-
"grad_norm": 0.5190012454986572,
|
| 22 |
-
"learning_rate": 4.901691499031736e-05,
|
| 23 |
-
"loss": 1.1731,
|
| 24 |
-
"step": 1000
|
| 25 |
-
},
|
| 26 |
-
{
|
| 27 |
-
"epoch": 0.059281508121566615,
|
| 28 |
-
"grad_norm": 0.44221577048301697,
|
| 29 |
-
"learning_rate": 4.8522902422637634e-05,
|
| 30 |
-
"loss": 0.9673,
|
| 31 |
-
"step": 1500
|
| 32 |
-
},
|
| 33 |
-
{
|
| 34 |
-
"epoch": 0.07904201082875548,
|
| 35 |
-
"grad_norm": 0.3572881817817688,
|
| 36 |
-
"learning_rate": 4.8028889854957916e-05,
|
| 37 |
-
"loss": 0.8537,
|
| 38 |
-
"step": 2000
|
| 39 |
-
},
|
| 40 |
-
{
|
| 41 |
-
"epoch": 0.09880251353594435,
|
| 42 |
-
"grad_norm": 0.36681538820266724,
|
| 43 |
-
"learning_rate": 4.753487728727819e-05,
|
| 44 |
-
"loss": 0.77,
|
| 45 |
-
"step": 2500
|
| 46 |
-
},
|
| 47 |
-
{
|
| 48 |
-
"epoch": 0.11856301624313323,
|
| 49 |
-
"grad_norm": 0.3278830647468567,
|
| 50 |
-
"learning_rate": 4.7040864719598474e-05,
|
| 51 |
-
"loss": 0.7379,
|
| 52 |
-
"step": 3000
|
| 53 |
-
},
|
| 54 |
-
{
|
| 55 |
-
"epoch": 0.1383235189503221,
|
| 56 |
-
"grad_norm": 0.32520031929016113,
|
| 57 |
-
"learning_rate": 4.654685215191875e-05,
|
| 58 |
-
"loss": 0.6918,
|
| 59 |
-
"step": 3500
|
| 60 |
-
},
|
| 61 |
-
{
|
| 62 |
-
"epoch": 0.15808402165751095,
|
| 63 |
-
"grad_norm": 0.3115929961204529,
|
| 64 |
-
"learning_rate": 4.6052839584239024e-05,
|
| 65 |
-
"loss": 0.6635,
|
| 66 |
-
"step": 4000
|
| 67 |
-
},
|
| 68 |
-
{
|
| 69 |
-
"epoch": 0.17784452436469983,
|
| 70 |
-
"grad_norm": 0.309794157743454,
|
| 71 |
-
"learning_rate": 4.55588270165593e-05,
|
| 72 |
-
"loss": 0.6363,
|
| 73 |
-
"step": 4500
|
| 74 |
-
},
|
| 75 |
-
{
|
| 76 |
-
"epoch": 0.1976050270718887,
|
| 77 |
-
"grad_norm": 0.3163657784461975,
|
| 78 |
-
"learning_rate": 4.506481444887958e-05,
|
| 79 |
-
"loss": 0.6113,
|
| 80 |
-
"step": 5000
|
| 81 |
-
},
|
| 82 |
-
{
|
| 83 |
-
"epoch": 0.21736552977907758,
|
| 84 |
-
"grad_norm": 0.27902352809906006,
|
| 85 |
-
"learning_rate": 4.457080188119986e-05,
|
| 86 |
-
"loss": 0.5899,
|
| 87 |
-
"step": 5500
|
| 88 |
-
},
|
| 89 |
-
{
|
| 90 |
-
"epoch": 0.23712603248626646,
|
| 91 |
-
"grad_norm": 0.26167234778404236,
|
| 92 |
-
"learning_rate": 4.407678931352014e-05,
|
| 93 |
-
"loss": 0.58,
|
| 94 |
-
"step": 6000
|
| 95 |
-
},
|
| 96 |
-
{
|
| 97 |
-
"epoch": 0.25688653519345533,
|
| 98 |
-
"grad_norm": 0.30986905097961426,
|
| 99 |
-
"learning_rate": 4.3582776745840415e-05,
|
| 100 |
-
"loss": 0.5632,
|
| 101 |
-
"step": 6500
|
| 102 |
-
},
|
| 103 |
-
{
|
| 104 |
-
"epoch": 0.2766470379006442,
|
| 105 |
-
"grad_norm": 0.28008660674095154,
|
| 106 |
-
"learning_rate": 4.30887641781607e-05,
|
| 107 |
-
"loss": 0.5478,
|
| 108 |
-
"step": 7000
|
| 109 |
-
},
|
| 110 |
-
{
|
| 111 |
-
"epoch": 0.2964075406078331,
|
| 112 |
-
"grad_norm": 0.2860545516014099,
|
| 113 |
-
"learning_rate": 4.259475161048097e-05,
|
| 114 |
-
"loss": 0.541,
|
| 115 |
-
"step": 7500
|
| 116 |
-
},
|
| 117 |
-
{
|
| 118 |
-
"epoch": 0.3161680433150219,
|
| 119 |
-
"grad_norm": 0.23841875791549683,
|
| 120 |
-
"learning_rate": 4.2100739042801254e-05,
|
| 121 |
-
"loss": 0.5261,
|
| 122 |
-
"step": 8000
|
| 123 |
-
},
|
| 124 |
-
{
|
| 125 |
-
"epoch": 0.3359285460222108,
|
| 126 |
-
"grad_norm": 0.24955500662326813,
|
| 127 |
-
"learning_rate": 4.160672647512153e-05,
|
| 128 |
-
"loss": 0.5184,
|
| 129 |
-
"step": 8500
|
| 130 |
-
},
|
| 131 |
-
{
|
| 132 |
-
"epoch": 0.35568904872939966,
|
| 133 |
-
"grad_norm": 0.28650936484336853,
|
| 134 |
-
"learning_rate": 4.1112713907441805e-05,
|
| 135 |
-
"loss": 0.5092,
|
| 136 |
-
"step": 9000
|
| 137 |
-
},
|
| 138 |
-
{
|
| 139 |
-
"epoch": 0.37544955143658854,
|
| 140 |
-
"grad_norm": 0.26088303327560425,
|
| 141 |
-
"learning_rate": 4.061870133976208e-05,
|
| 142 |
-
"loss": 0.4939,
|
| 143 |
-
"step": 9500
|
| 144 |
-
},
|
| 145 |
-
{
|
| 146 |
-
"epoch": 0.3952100541437774,
|
| 147 |
-
"grad_norm": 0.27843499183654785,
|
| 148 |
-
"learning_rate": 4.012468877208236e-05,
|
| 149 |
-
"loss": 0.493,
|
| 150 |
-
"step": 10000
|
| 151 |
-
},
|
| 152 |
-
{
|
| 153 |
-
"epoch": 0.4149705568509663,
|
| 154 |
-
"grad_norm": 0.45379650592803955,
|
| 155 |
-
"learning_rate": 3.963067620440264e-05,
|
| 156 |
-
"loss": 0.4824,
|
| 157 |
-
"step": 10500
|
| 158 |
-
},
|
| 159 |
-
{
|
| 160 |
-
"epoch": 0.43473105955815516,
|
| 161 |
-
"grad_norm": 0.29186248779296875,
|
| 162 |
-
"learning_rate": 3.913666363672292e-05,
|
| 163 |
-
"loss": 0.4743,
|
| 164 |
-
"step": 11000
|
| 165 |
-
},
|
| 166 |
-
{
|
| 167 |
-
"epoch": 0.45449156226534404,
|
| 168 |
-
"grad_norm": 0.2711990475654602,
|
| 169 |
-
"learning_rate": 3.86426510690432e-05,
|
| 170 |
-
"loss": 0.4684,
|
| 171 |
-
"step": 11500
|
| 172 |
-
},
|
| 173 |
-
{
|
| 174 |
-
"epoch": 0.4742520649725329,
|
| 175 |
-
"grad_norm": 0.2682012915611267,
|
| 176 |
-
"learning_rate": 3.814863850136348e-05,
|
| 177 |
-
"loss": 0.4674,
|
| 178 |
-
"step": 12000
|
| 179 |
-
},
|
| 180 |
-
{
|
| 181 |
-
"epoch": 0.4940125676797218,
|
| 182 |
-
"grad_norm": 0.3144526183605194,
|
| 183 |
-
"learning_rate": 3.765462593368376e-05,
|
| 184 |
-
"loss": 0.4565,
|
| 185 |
-
"step": 12500
|
| 186 |
-
},
|
| 187 |
-
{
|
| 188 |
-
"epoch": 0.5137730703869107,
|
| 189 |
-
"grad_norm": 0.24828797578811646,
|
| 190 |
-
"learning_rate": 3.7160613366004034e-05,
|
| 191 |
-
"loss": 0.4601,
|
| 192 |
-
"step": 13000
|
| 193 |
-
},
|
| 194 |
-
{
|
| 195 |
-
"epoch": 0.5335335730940995,
|
| 196 |
-
"grad_norm": 0.23556892573833466,
|
| 197 |
-
"learning_rate": 3.6666600798324317e-05,
|
| 198 |
-
"loss": 0.4456,
|
| 199 |
-
"step": 13500
|
| 200 |
-
},
|
| 201 |
-
{
|
| 202 |
-
"epoch": 0.5532940758012884,
|
| 203 |
-
"grad_norm": 0.20168079435825348,
|
| 204 |
-
"learning_rate": 3.617258823064459e-05,
|
| 205 |
-
"loss": 0.4416,
|
| 206 |
-
"step": 14000
|
| 207 |
-
},
|
| 208 |
-
{
|
| 209 |
-
"epoch": 0.5730545785084773,
|
| 210 |
-
"grad_norm": 0.26364487409591675,
|
| 211 |
-
"learning_rate": 3.567857566296487e-05,
|
| 212 |
-
"loss": 0.4394,
|
| 213 |
-
"step": 14500
|
| 214 |
-
},
|
| 215 |
-
{
|
| 216 |
-
"epoch": 0.5928150812156662,
|
| 217 |
-
"grad_norm": 0.22534222900867462,
|
| 218 |
-
"learning_rate": 3.518456309528514e-05,
|
| 219 |
-
"loss": 0.4371,
|
| 220 |
-
"step": 15000
|
| 221 |
-
},
|
| 222 |
-
{
|
| 223 |
-
"epoch": 0.612575583922855,
|
| 224 |
-
"grad_norm": 0.2668949067592621,
|
| 225 |
-
"learning_rate": 3.4690550527605425e-05,
|
| 226 |
-
"loss": 0.4292,
|
| 227 |
-
"step": 15500
|
| 228 |
-
},
|
| 229 |
-
{
|
| 230 |
-
"epoch": 0.6323360866300438,
|
| 231 |
-
"grad_norm": 0.26472756266593933,
|
| 232 |
-
"learning_rate": 3.41965379599257e-05,
|
| 233 |
-
"loss": 0.4271,
|
| 234 |
-
"step": 16000
|
| 235 |
-
},
|
| 236 |
-
{
|
| 237 |
-
"epoch": 0.6520965893372327,
|
| 238 |
-
"grad_norm": 0.238133504986763,
|
| 239 |
-
"learning_rate": 3.3703513417381335e-05,
|
| 240 |
-
"loss": 0.4214,
|
| 241 |
-
"step": 16500
|
| 242 |
-
},
|
| 243 |
-
{
|
| 244 |
-
"epoch": 0.6718570920444216,
|
| 245 |
-
"grad_norm": 0.19885075092315674,
|
| 246 |
-
"learning_rate": 3.320950084970162e-05,
|
| 247 |
-
"loss": 0.4178,
|
| 248 |
-
"step": 17000
|
| 249 |
-
},
|
| 250 |
-
{
|
| 251 |
-
"epoch": 0.6916175947516104,
|
| 252 |
-
"grad_norm": 0.2647489309310913,
|
| 253 |
-
"learning_rate": 3.271548828202189e-05,
|
| 254 |
-
"loss": 0.4171,
|
| 255 |
-
"step": 17500
|
| 256 |
-
},
|
| 257 |
-
{
|
| 258 |
-
"epoch": 0.7113780974587993,
|
| 259 |
-
"grad_norm": 0.2713819444179535,
|
| 260 |
-
"learning_rate": 3.2221475714342175e-05,
|
| 261 |
-
"loss": 0.4152,
|
| 262 |
-
"step": 18000
|
| 263 |
-
},
|
| 264 |
-
{
|
| 265 |
-
"epoch": 0.7311386001659882,
|
| 266 |
-
"grad_norm": 0.21879780292510986,
|
| 267 |
-
"learning_rate": 3.172845117179781e-05,
|
| 268 |
-
"loss": 0.4124,
|
| 269 |
-
"step": 18500
|
| 270 |
-
},
|
| 271 |
-
{
|
| 272 |
-
"epoch": 0.7508991028731771,
|
| 273 |
-
"grad_norm": 0.21214431524276733,
|
| 274 |
-
"learning_rate": 3.1234438604118085e-05,
|
| 275 |
-
"loss": 0.4046,
|
| 276 |
-
"step": 19000
|
| 277 |
-
},
|
| 278 |
-
{
|
| 279 |
-
"epoch": 0.770659605580366,
|
| 280 |
-
"grad_norm": 0.23132909834384918,
|
| 281 |
-
"learning_rate": 3.074042603643837e-05,
|
| 282 |
-
"loss": 0.4074,
|
| 283 |
-
"step": 19500
|
| 284 |
-
},
|
| 285 |
-
{
|
| 286 |
-
"epoch": 0.7904201082875548,
|
| 287 |
-
"grad_norm": 0.25402024388313293,
|
| 288 |
-
"learning_rate": 3.0246413468758646e-05,
|
| 289 |
-
"loss": 0.4025,
|
| 290 |
-
"step": 20000
|
| 291 |
-
},
|
| 292 |
-
{
|
| 293 |
-
"epoch": 0.8101806109947437,
|
| 294 |
-
"grad_norm": 0.24344465136528015,
|
| 295 |
-
"learning_rate": 2.9754376951349644e-05,
|
| 296 |
-
"loss": 0.3954,
|
| 297 |
-
"step": 20500
|
| 298 |
-
},
|
| 299 |
-
{
|
| 300 |
-
"epoch": 0.8299411137019326,
|
| 301 |
-
"grad_norm": 0.35887858271598816,
|
| 302 |
-
"learning_rate": 2.926036438366992e-05,
|
| 303 |
-
"loss": 0.3999,
|
| 304 |
-
"step": 21000
|
| 305 |
-
},
|
| 306 |
-
{
|
| 307 |
-
"epoch": 0.8497016164091215,
|
| 308 |
-
"grad_norm": 0.2312784641981125,
|
| 309 |
-
"learning_rate": 2.87663518159902e-05,
|
| 310 |
-
"loss": 0.3953,
|
| 311 |
-
"step": 21500
|
| 312 |
-
},
|
| 313 |
-
{
|
| 314 |
-
"epoch": 0.8694621191163103,
|
| 315 |
-
"grad_norm": 0.25101277232170105,
|
| 316 |
-
"learning_rate": 2.8273327273445837e-05,
|
| 317 |
-
"loss": 0.394,
|
| 318 |
-
"step": 22000
|
| 319 |
-
},
|
| 320 |
-
{
|
| 321 |
-
"epoch": 0.8892226218234992,
|
| 322 |
-
"grad_norm": 0.2582937479019165,
|
| 323 |
-
"learning_rate": 2.777931470576612e-05,
|
| 324 |
-
"loss": 0.3936,
|
| 325 |
-
"step": 22500
|
| 326 |
-
},
|
| 327 |
-
{
|
| 328 |
-
"epoch": 0.9089831245306881,
|
| 329 |
-
"grad_norm": 0.20885373651981354,
|
| 330 |
-
"learning_rate": 2.7285302138086394e-05,
|
| 331 |
-
"loss": 0.384,
|
| 332 |
-
"step": 23000
|
| 333 |
-
},
|
| 334 |
-
{
|
| 335 |
-
"epoch": 0.928743627237877,
|
| 336 |
-
"grad_norm": 0.23662053048610687,
|
| 337 |
-
"learning_rate": 2.6791289570406676e-05,
|
| 338 |
-
"loss": 0.3818,
|
| 339 |
-
"step": 23500
|
| 340 |
-
},
|
| 341 |
-
{
|
| 342 |
-
"epoch": 0.9485041299450658,
|
| 343 |
-
"grad_norm": 0.23784968256950378,
|
| 344 |
-
"learning_rate": 2.629727700272695e-05,
|
| 345 |
-
"loss": 0.3884,
|
| 346 |
-
"step": 24000
|
| 347 |
-
},
|
| 348 |
-
{
|
| 349 |
-
"epoch": 0.9682646326522547,
|
| 350 |
-
"grad_norm": 0.24405881762504578,
|
| 351 |
-
"learning_rate": 2.5804252460182587e-05,
|
| 352 |
-
"loss": 0.384,
|
| 353 |
-
"step": 24500
|
| 354 |
-
},
|
| 355 |
-
{
|
| 356 |
-
"epoch": 0.9880251353594436,
|
| 357 |
-
"grad_norm": 0.18989978730678558,
|
| 358 |
-
"learning_rate": 2.531023989250287e-05,
|
| 359 |
-
"loss": 0.3821,
|
| 360 |
-
"step": 25000
|
| 361 |
-
},
|
| 362 |
-
{
|
| 363 |
-
"epoch": 1.0077856380666323,
|
| 364 |
-
"grad_norm": 0.22834104299545288,
|
| 365 |
-
"learning_rate": 2.4816227324823144e-05,
|
| 366 |
-
"loss": 0.3801,
|
| 367 |
-
"step": 25500
|
| 368 |
-
},
|
| 369 |
-
{
|
| 370 |
-
"epoch": 1.0275461407738213,
|
| 371 |
-
"grad_norm": 0.30803126096725464,
|
| 372 |
-
"learning_rate": 2.4322214757143423e-05,
|
| 373 |
-
"loss": 0.3739,
|
| 374 |
-
"step": 26000
|
| 375 |
-
},
|
| 376 |
-
{
|
| 377 |
-
"epoch": 1.04730664348101,
|
| 378 |
-
"grad_norm": 0.21231615543365479,
|
| 379 |
-
"learning_rate": 2.3828202189463698e-05,
|
| 380 |
-
"loss": 0.3791,
|
| 381 |
-
"step": 26500
|
| 382 |
-
},
|
| 383 |
-
{
|
| 384 |
-
"epoch": 1.067067146188199,
|
| 385 |
-
"grad_norm": 0.26202794909477234,
|
| 386 |
-
"learning_rate": 2.333418962178398e-05,
|
| 387 |
-
"loss": 0.3739,
|
| 388 |
-
"step": 27000
|
| 389 |
-
},
|
| 390 |
-
{
|
| 391 |
-
"epoch": 1.0868276488953879,
|
| 392 |
-
"grad_norm": 0.21842999756336212,
|
| 393 |
-
"learning_rate": 2.284017705410426e-05,
|
| 394 |
-
"loss": 0.377,
|
| 395 |
-
"step": 27500
|
| 396 |
-
},
|
| 397 |
-
{
|
| 398 |
-
"epoch": 1.1065881516025768,
|
| 399 |
-
"grad_norm": 0.22890307009220123,
|
| 400 |
-
"learning_rate": 2.2346164486424538e-05,
|
| 401 |
-
"loss": 0.3733,
|
| 402 |
-
"step": 28000
|
| 403 |
-
},
|
| 404 |
-
{
|
| 405 |
-
"epoch": 1.1263486543097656,
|
| 406 |
-
"grad_norm": 0.20813824236392975,
|
| 407 |
-
"learning_rate": 2.1852151918744816e-05,
|
| 408 |
-
"loss": 0.37,
|
| 409 |
-
"step": 28500
|
| 410 |
-
},
|
| 411 |
-
{
|
| 412 |
-
"epoch": 1.1461091570169546,
|
| 413 |
-
"grad_norm": 0.2490423172712326,
|
| 414 |
-
"learning_rate": 2.1358139351065092e-05,
|
| 415 |
-
"loss": 0.3704,
|
| 416 |
-
"step": 29000
|
| 417 |
-
},
|
| 418 |
-
{
|
| 419 |
-
"epoch": 1.1658696597241434,
|
| 420 |
-
"grad_norm": 0.20076008141040802,
|
| 421 |
-
"learning_rate": 2.086511480852073e-05,
|
| 422 |
-
"loss": 0.3733,
|
| 423 |
-
"step": 29500
|
| 424 |
-
},
|
| 425 |
-
{
|
| 426 |
-
"epoch": 1.1856301624313323,
|
| 427 |
-
"grad_norm": 0.20791497826576233,
|
| 428 |
-
"learning_rate": 2.037110224084101e-05,
|
| 429 |
-
"loss": 0.3682,
|
| 430 |
-
"step": 30000
|
| 431 |
-
},
|
| 432 |
-
{
|
| 433 |
-
"epoch": 1.2053906651385211,
|
| 434 |
-
"grad_norm": 0.3393056094646454,
|
| 435 |
-
"learning_rate": 1.9878077698296648e-05,
|
| 436 |
-
"loss": 0.3687,
|
| 437 |
-
"step": 30500
|
| 438 |
-
},
|
| 439 |
-
{
|
| 440 |
-
"epoch": 1.22515116784571,
|
| 441 |
-
"grad_norm": 0.21395719051361084,
|
| 442 |
-
"learning_rate": 1.9384065130616923e-05,
|
| 443 |
-
"loss": 0.3649,
|
| 444 |
-
"step": 31000
|
| 445 |
-
},
|
| 446 |
-
{
|
| 447 |
-
"epoch": 1.2449116705528989,
|
| 448 |
-
"grad_norm": 0.23558488488197327,
|
| 449 |
-
"learning_rate": 1.889104058807256e-05,
|
| 450 |
-
"loss": 0.366,
|
| 451 |
-
"step": 31500
|
| 452 |
-
},
|
| 453 |
-
{
|
| 454 |
-
"epoch": 1.2646721732600876,
|
| 455 |
-
"grad_norm": 0.2056606411933899,
|
| 456 |
-
"learning_rate": 1.839702802039284e-05,
|
| 457 |
-
"loss": 0.363,
|
| 458 |
-
"step": 32000
|
| 459 |
-
},
|
| 460 |
-
{
|
| 461 |
-
"epoch": 1.2844326759672766,
|
| 462 |
-
"grad_norm": 0.2141130417585373,
|
| 463 |
-
"learning_rate": 1.790400347784848e-05,
|
| 464 |
-
"loss": 0.3671,
|
| 465 |
-
"step": 32500
|
| 466 |
-
},
|
| 467 |
-
{
|
| 468 |
-
"epoch": 1.3041931786744656,
|
| 469 |
-
"grad_norm": 0.20828750729560852,
|
| 470 |
-
"learning_rate": 1.7409990910168754e-05,
|
| 471 |
-
"loss": 0.3635,
|
| 472 |
-
"step": 33000
|
| 473 |
-
},
|
| 474 |
-
{
|
| 475 |
-
"epoch": 1.3239536813816544,
|
| 476 |
-
"grad_norm": 0.18149369955062866,
|
| 477 |
-
"learning_rate": 1.6915978342489033e-05,
|
| 478 |
-
"loss": 0.3637,
|
| 479 |
-
"step": 33500
|
| 480 |
-
},
|
| 481 |
-
{
|
| 482 |
-
"epoch": 1.3437141840888431,
|
| 483 |
-
"grad_norm": 0.21469901502132416,
|
| 484 |
-
"learning_rate": 1.642196577480931e-05,
|
| 485 |
-
"loss": 0.3586,
|
| 486 |
-
"step": 34000
|
| 487 |
-
},
|
| 488 |
-
{
|
| 489 |
-
"epoch": 1.3634746867960321,
|
| 490 |
-
"grad_norm": 0.22413115203380585,
|
| 491 |
-
"learning_rate": 1.592894123226495e-05,
|
| 492 |
-
"loss": 0.3596,
|
| 493 |
-
"step": 34500
|
| 494 |
-
},
|
| 495 |
-
{
|
| 496 |
-
"epoch": 1.3832351895032209,
|
| 497 |
-
"grad_norm": 0.2113995999097824,
|
| 498 |
-
"learning_rate": 1.543492866458523e-05,
|
| 499 |
-
"loss": 0.3547,
|
| 500 |
-
"step": 35000
|
| 501 |
-
},
|
| 502 |
-
{
|
| 503 |
-
"epoch": 1.4029956922104099,
|
| 504 |
-
"grad_norm": 0.19711661338806152,
|
| 505 |
-
"learning_rate": 1.4940916096905506e-05,
|
| 506 |
-
"loss": 0.3601,
|
| 507 |
-
"step": 35500
|
| 508 |
-
},
|
| 509 |
-
{
|
| 510 |
-
"epoch": 1.4227561949175986,
|
| 511 |
-
"grad_norm": 0.24169065058231354,
|
| 512 |
-
"learning_rate": 1.4447891554361142e-05,
|
| 513 |
-
"loss": 0.3582,
|
| 514 |
-
"step": 36000
|
| 515 |
-
},
|
| 516 |
-
{
|
| 517 |
-
"epoch": 1.4425166976247876,
|
| 518 |
-
"grad_norm": 0.2239445596933365,
|
| 519 |
-
"learning_rate": 1.3953878986681421e-05,
|
| 520 |
-
"loss": 0.358,
|
| 521 |
-
"step": 36500
|
| 522 |
-
},
|
| 523 |
-
{
|
| 524 |
-
"epoch": 1.4622772003319764,
|
| 525 |
-
"grad_norm": 0.25448787212371826,
|
| 526 |
-
"learning_rate": 1.3459866419001698e-05,
|
| 527 |
-
"loss": 0.3573,
|
| 528 |
-
"step": 37000
|
| 529 |
-
},
|
| 530 |
-
{
|
| 531 |
-
"epoch": 1.4820377030391654,
|
| 532 |
-
"grad_norm": 0.20836737751960754,
|
| 533 |
-
"learning_rate": 1.296585385132198e-05,
|
| 534 |
-
"loss": 0.3533,
|
| 535 |
-
"step": 37500
|
| 536 |
-
},
|
| 537 |
-
{
|
| 538 |
-
"epoch": 1.5017982057463541,
|
| 539 |
-
"grad_norm": 0.18163880705833435,
|
| 540 |
-
"learning_rate": 1.2471841283642256e-05,
|
| 541 |
-
"loss": 0.3564,
|
| 542 |
-
"step": 38000
|
| 543 |
-
},
|
| 544 |
-
{
|
| 545 |
-
"epoch": 1.5215587084535431,
|
| 546 |
-
"grad_norm": 0.23112539947032928,
|
| 547 |
-
"learning_rate": 1.1978816741097894e-05,
|
| 548 |
-
"loss": 0.3516,
|
| 549 |
-
"step": 38500
|
| 550 |
-
},
|
| 551 |
-
{
|
| 552 |
-
"epoch": 1.541319211160732,
|
| 553 |
-
"grad_norm": 0.18698620796203613,
|
| 554 |
-
"learning_rate": 1.1484804173418171e-05,
|
| 555 |
-
"loss": 0.3534,
|
| 556 |
-
"step": 39000
|
| 557 |
-
},
|
| 558 |
-
{
|
| 559 |
-
"epoch": 1.5610797138679207,
|
| 560 |
-
"grad_norm": 0.2288573682308197,
|
| 561 |
-
"learning_rate": 1.099079160573845e-05,
|
| 562 |
-
"loss": 0.3527,
|
| 563 |
-
"step": 39500
|
| 564 |
-
},
|
| 565 |
-
{
|
| 566 |
-
"epoch": 1.5808402165751096,
|
| 567 |
-
"grad_norm": 0.22100871801376343,
|
| 568 |
-
"learning_rate": 1.0496779038058729e-05,
|
| 569 |
-
"loss": 0.3504,
|
| 570 |
-
"step": 40000
|
| 571 |
-
},
|
| 572 |
-
{
|
| 573 |
-
"epoch": 1.6006007192822986,
|
| 574 |
-
"grad_norm": 0.24465763568878174,
|
| 575 |
-
"learning_rate": 1.0002766470379007e-05,
|
| 576 |
-
"loss": 0.3526,
|
| 577 |
-
"step": 40500
|
| 578 |
-
},
|
| 579 |
-
{
|
| 580 |
-
"epoch": 1.6203612219894874,
|
| 581 |
-
"grad_norm": 0.22944742441177368,
|
| 582 |
-
"learning_rate": 9.508753902699286e-06,
|
| 583 |
-
"loss": 0.3544,
|
| 584 |
-
"step": 41000
|
| 585 |
-
},
|
| 586 |
-
{
|
| 587 |
-
"epoch": 1.6401217246966762,
|
| 588 |
-
"grad_norm": 0.22519248723983765,
|
| 589 |
-
"learning_rate": 9.015729360154923e-06,
|
| 590 |
-
"loss": 0.3507,
|
| 591 |
-
"step": 41500
|
| 592 |
-
},
|
| 593 |
-
{
|
| 594 |
-
"epoch": 1.6598822274038652,
|
| 595 |
-
"grad_norm": 0.21818549931049347,
|
| 596 |
-
"learning_rate": 8.521716792475202e-06,
|
| 597 |
-
"loss": 0.3447,
|
| 598 |
-
"step": 42000
|
| 599 |
-
},
|
| 600 |
-
{
|
| 601 |
-
"epoch": 1.6796427301110541,
|
| 602 |
-
"grad_norm": 0.23688144981861115,
|
| 603 |
-
"learning_rate": 8.027704224795479e-06,
|
| 604 |
-
"loss": 0.3485,
|
| 605 |
-
"step": 42500
|
| 606 |
-
},
|
| 607 |
-
{
|
| 608 |
-
"epoch": 1.699403232818243,
|
| 609 |
-
"grad_norm": 0.2965475916862488,
|
| 610 |
-
"learning_rate": 7.533691657115757e-06,
|
| 611 |
-
"loss": 0.3482,
|
| 612 |
-
"step": 43000
|
| 613 |
-
},
|
| 614 |
-
{
|
| 615 |
-
"epoch": 1.7191637355254317,
|
| 616 |
-
"grad_norm": 0.21588334441184998,
|
| 617 |
-
"learning_rate": 7.039679089436035e-06,
|
| 618 |
-
"loss": 0.3487,
|
| 619 |
-
"step": 43500
|
| 620 |
-
},
|
| 621 |
-
{
|
| 622 |
-
"epoch": 1.7389242382326207,
|
| 623 |
-
"grad_norm": 0.25196942687034607,
|
| 624 |
-
"learning_rate": 6.545666521756313e-06,
|
| 625 |
-
"loss": 0.347,
|
| 626 |
-
"step": 44000
|
| 627 |
-
},
|
| 628 |
-
{
|
| 629 |
-
"epoch": 1.7586847409398096,
|
| 630 |
-
"grad_norm": 0.2386660873889923,
|
| 631 |
-
"learning_rate": 6.051653954076593e-06,
|
| 632 |
-
"loss": 0.3493,
|
| 633 |
-
"step": 44500
|
| 634 |
-
},
|
| 635 |
-
{
|
| 636 |
-
"epoch": 1.7784452436469984,
|
| 637 |
-
"grad_norm": 0.21771515905857086,
|
| 638 |
-
"learning_rate": 5.5586294115322294e-06,
|
| 639 |
-
"loss": 0.3412,
|
| 640 |
-
"step": 45000
|
| 641 |
-
},
|
| 642 |
-
{
|
| 643 |
-
"epoch": 1.7982057463541872,
|
| 644 |
-
"grad_norm": 0.20925763249397278,
|
| 645 |
-
"learning_rate": 5.064616843852508e-06,
|
| 646 |
-
"loss": 0.3451,
|
| 647 |
-
"step": 45500
|
| 648 |
-
},
|
| 649 |
-
{
|
| 650 |
-
"epoch": 1.8179662490613762,
|
| 651 |
-
"grad_norm": 0.21637707948684692,
|
| 652 |
-
"learning_rate": 4.570604276172786e-06,
|
| 653 |
-
"loss": 0.3483,
|
| 654 |
-
"step": 46000
|
| 655 |
-
},
|
| 656 |
-
{
|
| 657 |
-
"epoch": 1.8377267517685651,
|
| 658 |
-
"grad_norm": 0.21756745874881744,
|
| 659 |
-
"learning_rate": 4.076591708493064e-06,
|
| 660 |
-
"loss": 0.3518,
|
| 661 |
-
"step": 46500
|
| 662 |
-
},
|
| 663 |
-
{
|
| 664 |
-
"epoch": 1.857487254475754,
|
| 665 |
-
"grad_norm": 0.21370700001716614,
|
| 666 |
-
"learning_rate": 3.583567165948702e-06,
|
| 667 |
-
"loss": 0.3489,
|
| 668 |
-
"step": 47000
|
| 669 |
-
},
|
| 670 |
-
{
|
| 671 |
-
"epoch": 1.8772477571829427,
|
| 672 |
-
"grad_norm": 0.27830684185028076,
|
| 673 |
-
"learning_rate": 3.0895545982689803e-06,
|
| 674 |
-
"loss": 0.3451,
|
| 675 |
-
"step": 47500
|
| 676 |
-
},
|
| 677 |
-
{
|
| 678 |
-
"epoch": 1.8970082598901317,
|
| 679 |
-
"grad_norm": 0.225153848528862,
|
| 680 |
-
"learning_rate": 2.595542030589258e-06,
|
| 681 |
-
"loss": 0.3451,
|
| 682 |
-
"step": 48000
|
| 683 |
-
},
|
| 684 |
-
{
|
| 685 |
-
"epoch": 1.9167687625973204,
|
| 686 |
-
"grad_norm": 0.2039685696363449,
|
| 687 |
-
"learning_rate": 2.1015294629095364e-06,
|
| 688 |
-
"loss": 0.349,
|
| 689 |
-
"step": 48500
|
| 690 |
-
},
|
| 691 |
-
{
|
| 692 |
-
"epoch": 1.9365292653045092,
|
| 693 |
-
"grad_norm": 0.3599139153957367,
|
| 694 |
-
"learning_rate": 1.607516895229815e-06,
|
| 695 |
-
"loss": 0.3486,
|
| 696 |
-
"step": 49000
|
| 697 |
-
},
|
| 698 |
-
{
|
| 699 |
-
"epoch": 1.9562897680116982,
|
| 700 |
-
"grad_norm": 0.2884109616279602,
|
| 701 |
-
"learning_rate": 1.113504327550093e-06,
|
| 702 |
-
"loss": 0.343,
|
| 703 |
-
"step": 49500
|
| 704 |
-
},
|
| 705 |
-
{
|
| 706 |
-
"epoch": 1.9760502707188872,
|
| 707 |
-
"grad_norm": 0.2130923867225647,
|
| 708 |
-
"learning_rate": 6.194917598703712e-07,
|
| 709 |
-
"loss": 0.347,
|
| 710 |
-
"step": 50000
|
| 711 |
-
}
|
| 712 |
-
],
|
| 713 |
-
"logging_steps": 500,
|
| 714 |
-
"max_steps": 50606,
|
| 715 |
-
"num_input_tokens_seen": 0,
|
| 716 |
-
"num_train_epochs": 2,
|
| 717 |
-
"save_steps": 500,
|
| 718 |
-
"stateful_callbacks": {
|
| 719 |
-
"TrainerControl": {
|
| 720 |
-
"args": {
|
| 721 |
-
"should_epoch_stop": false,
|
| 722 |
-
"should_evaluate": false,
|
| 723 |
-
"should_log": false,
|
| 724 |
-
"should_save": true,
|
| 725 |
-
"should_training_stop": false
|
| 726 |
-
},
|
| 727 |
-
"attributes": {}
|
| 728 |
-
}
|
| 729 |
-
},
|
| 730 |
-
"total_flos": 1.0827337350669926e+17,
|
| 731 |
-
"train_batch_size": 32,
|
| 732 |
-
"trial_name": null,
|
| 733 |
-
"trial_params": null
|
| 734 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
checkpoints/checkpoint-50500/trainer_state.json
DELETED
|
@@ -1,741 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"best_global_step": null,
|
| 3 |
-
"best_metric": null,
|
| 4 |
-
"best_model_checkpoint": null,
|
| 5 |
-
"epoch": 1.995810773426076,
|
| 6 |
-
"eval_steps": 500,
|
| 7 |
-
"global_step": 50500,
|
| 8 |
-
"is_hyper_param_search": false,
|
| 9 |
-
"is_local_process_zero": true,
|
| 10 |
-
"is_world_process_zero": true,
|
| 11 |
-
"log_history": [
|
| 12 |
-
{
|
| 13 |
-
"epoch": 0.01976050270718887,
|
| 14 |
-
"grad_norm": 0.40364792943000793,
|
| 15 |
-
"learning_rate": 4.951092755799708e-05,
|
| 16 |
-
"loss": 2.1373,
|
| 17 |
-
"step": 500
|
| 18 |
-
},
|
| 19 |
-
{
|
| 20 |
-
"epoch": 0.03952100541437774,
|
| 21 |
-
"grad_norm": 0.5190012454986572,
|
| 22 |
-
"learning_rate": 4.901691499031736e-05,
|
| 23 |
-
"loss": 1.1731,
|
| 24 |
-
"step": 1000
|
| 25 |
-
},
|
| 26 |
-
{
|
| 27 |
-
"epoch": 0.059281508121566615,
|
| 28 |
-
"grad_norm": 0.44221577048301697,
|
| 29 |
-
"learning_rate": 4.8522902422637634e-05,
|
| 30 |
-
"loss": 0.9673,
|
| 31 |
-
"step": 1500
|
| 32 |
-
},
|
| 33 |
-
{
|
| 34 |
-
"epoch": 0.07904201082875548,
|
| 35 |
-
"grad_norm": 0.3572881817817688,
|
| 36 |
-
"learning_rate": 4.8028889854957916e-05,
|
| 37 |
-
"loss": 0.8537,
|
| 38 |
-
"step": 2000
|
| 39 |
-
},
|
| 40 |
-
{
|
| 41 |
-
"epoch": 0.09880251353594435,
|
| 42 |
-
"grad_norm": 0.36681538820266724,
|
| 43 |
-
"learning_rate": 4.753487728727819e-05,
|
| 44 |
-
"loss": 0.77,
|
| 45 |
-
"step": 2500
|
| 46 |
-
},
|
| 47 |
-
{
|
| 48 |
-
"epoch": 0.11856301624313323,
|
| 49 |
-
"grad_norm": 0.3278830647468567,
|
| 50 |
-
"learning_rate": 4.7040864719598474e-05,
|
| 51 |
-
"loss": 0.7379,
|
| 52 |
-
"step": 3000
|
| 53 |
-
},
|
| 54 |
-
{
|
| 55 |
-
"epoch": 0.1383235189503221,
|
| 56 |
-
"grad_norm": 0.32520031929016113,
|
| 57 |
-
"learning_rate": 4.654685215191875e-05,
|
| 58 |
-
"loss": 0.6918,
|
| 59 |
-
"step": 3500
|
| 60 |
-
},
|
| 61 |
-
{
|
| 62 |
-
"epoch": 0.15808402165751095,
|
| 63 |
-
"grad_norm": 0.3115929961204529,
|
| 64 |
-
"learning_rate": 4.6052839584239024e-05,
|
| 65 |
-
"loss": 0.6635,
|
| 66 |
-
"step": 4000
|
| 67 |
-
},
|
| 68 |
-
{
|
| 69 |
-
"epoch": 0.17784452436469983,
|
| 70 |
-
"grad_norm": 0.309794157743454,
|
| 71 |
-
"learning_rate": 4.55588270165593e-05,
|
| 72 |
-
"loss": 0.6363,
|
| 73 |
-
"step": 4500
|
| 74 |
-
},
|
| 75 |
-
{
|
| 76 |
-
"epoch": 0.1976050270718887,
|
| 77 |
-
"grad_norm": 0.3163657784461975,
|
| 78 |
-
"learning_rate": 4.506481444887958e-05,
|
| 79 |
-
"loss": 0.6113,
|
| 80 |
-
"step": 5000
|
| 81 |
-
},
|
| 82 |
-
{
|
| 83 |
-
"epoch": 0.21736552977907758,
|
| 84 |
-
"grad_norm": 0.27902352809906006,
|
| 85 |
-
"learning_rate": 4.457080188119986e-05,
|
| 86 |
-
"loss": 0.5899,
|
| 87 |
-
"step": 5500
|
| 88 |
-
},
|
| 89 |
-
{
|
| 90 |
-
"epoch": 0.23712603248626646,
|
| 91 |
-
"grad_norm": 0.26167234778404236,
|
| 92 |
-
"learning_rate": 4.407678931352014e-05,
|
| 93 |
-
"loss": 0.58,
|
| 94 |
-
"step": 6000
|
| 95 |
-
},
|
| 96 |
-
{
|
| 97 |
-
"epoch": 0.25688653519345533,
|
| 98 |
-
"grad_norm": 0.30986905097961426,
|
| 99 |
-
"learning_rate": 4.3582776745840415e-05,
|
| 100 |
-
"loss": 0.5632,
|
| 101 |
-
"step": 6500
|
| 102 |
-
},
|
| 103 |
-
{
|
| 104 |
-
"epoch": 0.2766470379006442,
|
| 105 |
-
"grad_norm": 0.28008660674095154,
|
| 106 |
-
"learning_rate": 4.30887641781607e-05,
|
| 107 |
-
"loss": 0.5478,
|
| 108 |
-
"step": 7000
|
| 109 |
-
},
|
| 110 |
-
{
|
| 111 |
-
"epoch": 0.2964075406078331,
|
| 112 |
-
"grad_norm": 0.2860545516014099,
|
| 113 |
-
"learning_rate": 4.259475161048097e-05,
|
| 114 |
-
"loss": 0.541,
|
| 115 |
-
"step": 7500
|
| 116 |
-
},
|
| 117 |
-
{
|
| 118 |
-
"epoch": 0.3161680433150219,
|
| 119 |
-
"grad_norm": 0.23841875791549683,
|
| 120 |
-
"learning_rate": 4.2100739042801254e-05,
|
| 121 |
-
"loss": 0.5261,
|
| 122 |
-
"step": 8000
|
| 123 |
-
},
|
| 124 |
-
{
|
| 125 |
-
"epoch": 0.3359285460222108,
|
| 126 |
-
"grad_norm": 0.24955500662326813,
|
| 127 |
-
"learning_rate": 4.160672647512153e-05,
|
| 128 |
-
"loss": 0.5184,
|
| 129 |
-
"step": 8500
|
| 130 |
-
},
|
| 131 |
-
{
|
| 132 |
-
"epoch": 0.35568904872939966,
|
| 133 |
-
"grad_norm": 0.28650936484336853,
|
| 134 |
-
"learning_rate": 4.1112713907441805e-05,
|
| 135 |
-
"loss": 0.5092,
|
| 136 |
-
"step": 9000
|
| 137 |
-
},
|
| 138 |
-
{
|
| 139 |
-
"epoch": 0.37544955143658854,
|
| 140 |
-
"grad_norm": 0.26088303327560425,
|
| 141 |
-
"learning_rate": 4.061870133976208e-05,
|
| 142 |
-
"loss": 0.4939,
|
| 143 |
-
"step": 9500
|
| 144 |
-
},
|
| 145 |
-
{
|
| 146 |
-
"epoch": 0.3952100541437774,
|
| 147 |
-
"grad_norm": 0.27843499183654785,
|
| 148 |
-
"learning_rate": 4.012468877208236e-05,
|
| 149 |
-
"loss": 0.493,
|
| 150 |
-
"step": 10000
|
| 151 |
-
},
|
| 152 |
-
{
|
| 153 |
-
"epoch": 0.4149705568509663,
|
| 154 |
-
"grad_norm": 0.45379650592803955,
|
| 155 |
-
"learning_rate": 3.963067620440264e-05,
|
| 156 |
-
"loss": 0.4824,
|
| 157 |
-
"step": 10500
|
| 158 |
-
},
|
| 159 |
-
{
|
| 160 |
-
"epoch": 0.43473105955815516,
|
| 161 |
-
"grad_norm": 0.29186248779296875,
|
| 162 |
-
"learning_rate": 3.913666363672292e-05,
|
| 163 |
-
"loss": 0.4743,
|
| 164 |
-
"step": 11000
|
| 165 |
-
},
|
| 166 |
-
{
|
| 167 |
-
"epoch": 0.45449156226534404,
|
| 168 |
-
"grad_norm": 0.2711990475654602,
|
| 169 |
-
"learning_rate": 3.86426510690432e-05,
|
| 170 |
-
"loss": 0.4684,
|
| 171 |
-
"step": 11500
|
| 172 |
-
},
|
| 173 |
-
{
|
| 174 |
-
"epoch": 0.4742520649725329,
|
| 175 |
-
"grad_norm": 0.2682012915611267,
|
| 176 |
-
"learning_rate": 3.814863850136348e-05,
|
| 177 |
-
"loss": 0.4674,
|
| 178 |
-
"step": 12000
|
| 179 |
-
},
|
| 180 |
-
{
|
| 181 |
-
"epoch": 0.4940125676797218,
|
| 182 |
-
"grad_norm": 0.3144526183605194,
|
| 183 |
-
"learning_rate": 3.765462593368376e-05,
|
| 184 |
-
"loss": 0.4565,
|
| 185 |
-
"step": 12500
|
| 186 |
-
},
|
| 187 |
-
{
|
| 188 |
-
"epoch": 0.5137730703869107,
|
| 189 |
-
"grad_norm": 0.24828797578811646,
|
| 190 |
-
"learning_rate": 3.7160613366004034e-05,
|
| 191 |
-
"loss": 0.4601,
|
| 192 |
-
"step": 13000
|
| 193 |
-
},
|
| 194 |
-
{
|
| 195 |
-
"epoch": 0.5335335730940995,
|
| 196 |
-
"grad_norm": 0.23556892573833466,
|
| 197 |
-
"learning_rate": 3.6666600798324317e-05,
|
| 198 |
-
"loss": 0.4456,
|
| 199 |
-
"step": 13500
|
| 200 |
-
},
|
| 201 |
-
{
|
| 202 |
-
"epoch": 0.5532940758012884,
|
| 203 |
-
"grad_norm": 0.20168079435825348,
|
| 204 |
-
"learning_rate": 3.617258823064459e-05,
|
| 205 |
-
"loss": 0.4416,
|
| 206 |
-
"step": 14000
|
| 207 |
-
},
|
| 208 |
-
{
|
| 209 |
-
"epoch": 0.5730545785084773,
|
| 210 |
-
"grad_norm": 0.26364487409591675,
|
| 211 |
-
"learning_rate": 3.567857566296487e-05,
|
| 212 |
-
"loss": 0.4394,
|
| 213 |
-
"step": 14500
|
| 214 |
-
},
|
| 215 |
-
{
|
| 216 |
-
"epoch": 0.5928150812156662,
|
| 217 |
-
"grad_norm": 0.22534222900867462,
|
| 218 |
-
"learning_rate": 3.518456309528514e-05,
|
| 219 |
-
"loss": 0.4371,
|
| 220 |
-
"step": 15000
|
| 221 |
-
},
|
| 222 |
-
{
|
| 223 |
-
"epoch": 0.612575583922855,
|
| 224 |
-
"grad_norm": 0.2668949067592621,
|
| 225 |
-
"learning_rate": 3.4690550527605425e-05,
|
| 226 |
-
"loss": 0.4292,
|
| 227 |
-
"step": 15500
|
| 228 |
-
},
|
| 229 |
-
{
|
| 230 |
-
"epoch": 0.6323360866300438,
|
| 231 |
-
"grad_norm": 0.26472756266593933,
|
| 232 |
-
"learning_rate": 3.41965379599257e-05,
|
| 233 |
-
"loss": 0.4271,
|
| 234 |
-
"step": 16000
|
| 235 |
-
},
|
| 236 |
-
{
|
| 237 |
-
"epoch": 0.6520965893372327,
|
| 238 |
-
"grad_norm": 0.238133504986763,
|
| 239 |
-
"learning_rate": 3.3703513417381335e-05,
|
| 240 |
-
"loss": 0.4214,
|
| 241 |
-
"step": 16500
|
| 242 |
-
},
|
| 243 |
-
{
|
| 244 |
-
"epoch": 0.6718570920444216,
|
| 245 |
-
"grad_norm": 0.19885075092315674,
|
| 246 |
-
"learning_rate": 3.320950084970162e-05,
|
| 247 |
-
"loss": 0.4178,
|
| 248 |
-
"step": 17000
|
| 249 |
-
},
|
| 250 |
-
{
|
| 251 |
-
"epoch": 0.6916175947516104,
|
| 252 |
-
"grad_norm": 0.2647489309310913,
|
| 253 |
-
"learning_rate": 3.271548828202189e-05,
|
| 254 |
-
"loss": 0.4171,
|
| 255 |
-
"step": 17500
|
| 256 |
-
},
|
| 257 |
-
{
|
| 258 |
-
"epoch": 0.7113780974587993,
|
| 259 |
-
"grad_norm": 0.2713819444179535,
|
| 260 |
-
"learning_rate": 3.2221475714342175e-05,
|
| 261 |
-
"loss": 0.4152,
|
| 262 |
-
"step": 18000
|
| 263 |
-
},
|
| 264 |
-
{
|
| 265 |
-
"epoch": 0.7311386001659882,
|
| 266 |
-
"grad_norm": 0.21879780292510986,
|
| 267 |
-
"learning_rate": 3.172845117179781e-05,
|
| 268 |
-
"loss": 0.4124,
|
| 269 |
-
"step": 18500
|
| 270 |
-
},
|
| 271 |
-
{
|
| 272 |
-
"epoch": 0.7508991028731771,
|
| 273 |
-
"grad_norm": 0.21214431524276733,
|
| 274 |
-
"learning_rate": 3.1234438604118085e-05,
|
| 275 |
-
"loss": 0.4046,
|
| 276 |
-
"step": 19000
|
| 277 |
-
},
|
| 278 |
-
{
|
| 279 |
-
"epoch": 0.770659605580366,
|
| 280 |
-
"grad_norm": 0.23132909834384918,
|
| 281 |
-
"learning_rate": 3.074042603643837e-05,
|
| 282 |
-
"loss": 0.4074,
|
| 283 |
-
"step": 19500
|
| 284 |
-
},
|
| 285 |
-
{
|
| 286 |
-
"epoch": 0.7904201082875548,
|
| 287 |
-
"grad_norm": 0.25402024388313293,
|
| 288 |
-
"learning_rate": 3.0246413468758646e-05,
|
| 289 |
-
"loss": 0.4025,
|
| 290 |
-
"step": 20000
|
| 291 |
-
},
|
| 292 |
-
{
|
| 293 |
-
"epoch": 0.8101806109947437,
|
| 294 |
-
"grad_norm": 0.24344465136528015,
|
| 295 |
-
"learning_rate": 2.9754376951349644e-05,
|
| 296 |
-
"loss": 0.3954,
|
| 297 |
-
"step": 20500
|
| 298 |
-
},
|
| 299 |
-
{
|
| 300 |
-
"epoch": 0.8299411137019326,
|
| 301 |
-
"grad_norm": 0.35887858271598816,
|
| 302 |
-
"learning_rate": 2.926036438366992e-05,
|
| 303 |
-
"loss": 0.3999,
|
| 304 |
-
"step": 21000
|
| 305 |
-
},
|
| 306 |
-
{
|
| 307 |
-
"epoch": 0.8497016164091215,
|
| 308 |
-
"grad_norm": 0.2312784641981125,
|
| 309 |
-
"learning_rate": 2.87663518159902e-05,
|
| 310 |
-
"loss": 0.3953,
|
| 311 |
-
"step": 21500
|
| 312 |
-
},
|
| 313 |
-
{
|
| 314 |
-
"epoch": 0.8694621191163103,
|
| 315 |
-
"grad_norm": 0.25101277232170105,
|
| 316 |
-
"learning_rate": 2.8273327273445837e-05,
|
| 317 |
-
"loss": 0.394,
|
| 318 |
-
"step": 22000
|
| 319 |
-
},
|
| 320 |
-
{
|
| 321 |
-
"epoch": 0.8892226218234992,
|
| 322 |
-
"grad_norm": 0.2582937479019165,
|
| 323 |
-
"learning_rate": 2.777931470576612e-05,
|
| 324 |
-
"loss": 0.3936,
|
| 325 |
-
"step": 22500
|
| 326 |
-
},
|
| 327 |
-
{
|
| 328 |
-
"epoch": 0.9089831245306881,
|
| 329 |
-
"grad_norm": 0.20885373651981354,
|
| 330 |
-
"learning_rate": 2.7285302138086394e-05,
|
| 331 |
-
"loss": 0.384,
|
| 332 |
-
"step": 23000
|
| 333 |
-
},
|
| 334 |
-
{
|
| 335 |
-
"epoch": 0.928743627237877,
|
| 336 |
-
"grad_norm": 0.23662053048610687,
|
| 337 |
-
"learning_rate": 2.6791289570406676e-05,
|
| 338 |
-
"loss": 0.3818,
|
| 339 |
-
"step": 23500
|
| 340 |
-
},
|
| 341 |
-
{
|
| 342 |
-
"epoch": 0.9485041299450658,
|
| 343 |
-
"grad_norm": 0.23784968256950378,
|
| 344 |
-
"learning_rate": 2.629727700272695e-05,
|
| 345 |
-
"loss": 0.3884,
|
| 346 |
-
"step": 24000
|
| 347 |
-
},
|
| 348 |
-
{
|
| 349 |
-
"epoch": 0.9682646326522547,
|
| 350 |
-
"grad_norm": 0.24405881762504578,
|
| 351 |
-
"learning_rate": 2.5804252460182587e-05,
|
| 352 |
-
"loss": 0.384,
|
| 353 |
-
"step": 24500
|
| 354 |
-
},
|
| 355 |
-
{
|
| 356 |
-
"epoch": 0.9880251353594436,
|
| 357 |
-
"grad_norm": 0.18989978730678558,
|
| 358 |
-
"learning_rate": 2.531023989250287e-05,
|
| 359 |
-
"loss": 0.3821,
|
| 360 |
-
"step": 25000
|
| 361 |
-
},
|
| 362 |
-
{
|
| 363 |
-
"epoch": 1.0077856380666323,
|
| 364 |
-
"grad_norm": 0.22834104299545288,
|
| 365 |
-
"learning_rate": 2.4816227324823144e-05,
|
| 366 |
-
"loss": 0.3801,
|
| 367 |
-
"step": 25500
|
| 368 |
-
},
|
| 369 |
-
{
|
| 370 |
-
"epoch": 1.0275461407738213,
|
| 371 |
-
"grad_norm": 0.30803126096725464,
|
| 372 |
-
"learning_rate": 2.4322214757143423e-05,
|
| 373 |
-
"loss": 0.3739,
|
| 374 |
-
"step": 26000
|
| 375 |
-
},
|
| 376 |
-
{
|
| 377 |
-
"epoch": 1.04730664348101,
|
| 378 |
-
"grad_norm": 0.21231615543365479,
|
| 379 |
-
"learning_rate": 2.3828202189463698e-05,
|
| 380 |
-
"loss": 0.3791,
|
| 381 |
-
"step": 26500
|
| 382 |
-
},
|
| 383 |
-
{
|
| 384 |
-
"epoch": 1.067067146188199,
|
| 385 |
-
"grad_norm": 0.26202794909477234,
|
| 386 |
-
"learning_rate": 2.333418962178398e-05,
|
| 387 |
-
"loss": 0.3739,
|
| 388 |
-
"step": 27000
|
| 389 |
-
},
|
| 390 |
-
{
|
| 391 |
-
"epoch": 1.0868276488953879,
|
| 392 |
-
"grad_norm": 0.21842999756336212,
|
| 393 |
-
"learning_rate": 2.284017705410426e-05,
|
| 394 |
-
"loss": 0.377,
|
| 395 |
-
"step": 27500
|
| 396 |
-
},
|
| 397 |
-
{
|
| 398 |
-
"epoch": 1.1065881516025768,
|
| 399 |
-
"grad_norm": 0.22890307009220123,
|
| 400 |
-
"learning_rate": 2.2346164486424538e-05,
|
| 401 |
-
"loss": 0.3733,
|
| 402 |
-
"step": 28000
|
| 403 |
-
},
|
| 404 |
-
{
|
| 405 |
-
"epoch": 1.1263486543097656,
|
| 406 |
-
"grad_norm": 0.20813824236392975,
|
| 407 |
-
"learning_rate": 2.1852151918744816e-05,
|
| 408 |
-
"loss": 0.37,
|
| 409 |
-
"step": 28500
|
| 410 |
-
},
|
| 411 |
-
{
|
| 412 |
-
"epoch": 1.1461091570169546,
|
| 413 |
-
"grad_norm": 0.2490423172712326,
|
| 414 |
-
"learning_rate": 2.1358139351065092e-05,
|
| 415 |
-
"loss": 0.3704,
|
| 416 |
-
"step": 29000
|
| 417 |
-
},
|
| 418 |
-
{
|
| 419 |
-
"epoch": 1.1658696597241434,
|
| 420 |
-
"grad_norm": 0.20076008141040802,
|
| 421 |
-
"learning_rate": 2.086511480852073e-05,
|
| 422 |
-
"loss": 0.3733,
|
| 423 |
-
"step": 29500
|
| 424 |
-
},
|
| 425 |
-
{
|
| 426 |
-
"epoch": 1.1856301624313323,
|
| 427 |
-
"grad_norm": 0.20791497826576233,
|
| 428 |
-
"learning_rate": 2.037110224084101e-05,
|
| 429 |
-
"loss": 0.3682,
|
| 430 |
-
"step": 30000
|
| 431 |
-
},
|
| 432 |
-
{
|
| 433 |
-
"epoch": 1.2053906651385211,
|
| 434 |
-
"grad_norm": 0.3393056094646454,
|
| 435 |
-
"learning_rate": 1.9878077698296648e-05,
|
| 436 |
-
"loss": 0.3687,
|
| 437 |
-
"step": 30500
|
| 438 |
-
},
|
| 439 |
-
{
|
| 440 |
-
"epoch": 1.22515116784571,
|
| 441 |
-
"grad_norm": 0.21395719051361084,
|
| 442 |
-
"learning_rate": 1.9384065130616923e-05,
|
| 443 |
-
"loss": 0.3649,
|
| 444 |
-
"step": 31000
|
| 445 |
-
},
|
| 446 |
-
{
|
| 447 |
-
"epoch": 1.2449116705528989,
|
| 448 |
-
"grad_norm": 0.23558488488197327,
|
| 449 |
-
"learning_rate": 1.889104058807256e-05,
|
| 450 |
-
"loss": 0.366,
|
| 451 |
-
"step": 31500
|
| 452 |
-
},
|
| 453 |
-
{
|
| 454 |
-
"epoch": 1.2646721732600876,
|
| 455 |
-
"grad_norm": 0.2056606411933899,
|
| 456 |
-
"learning_rate": 1.839702802039284e-05,
|
| 457 |
-
"loss": 0.363,
|
| 458 |
-
"step": 32000
|
| 459 |
-
},
|
| 460 |
-
{
|
| 461 |
-
"epoch": 1.2844326759672766,
|
| 462 |
-
"grad_norm": 0.2141130417585373,
|
| 463 |
-
"learning_rate": 1.790400347784848e-05,
|
| 464 |
-
"loss": 0.3671,
|
| 465 |
-
"step": 32500
|
| 466 |
-
},
|
| 467 |
-
{
|
| 468 |
-
"epoch": 1.3041931786744656,
|
| 469 |
-
"grad_norm": 0.20828750729560852,
|
| 470 |
-
"learning_rate": 1.7409990910168754e-05,
|
| 471 |
-
"loss": 0.3635,
|
| 472 |
-
"step": 33000
|
| 473 |
-
},
|
| 474 |
-
{
|
| 475 |
-
"epoch": 1.3239536813816544,
|
| 476 |
-
"grad_norm": 0.18149369955062866,
|
| 477 |
-
"learning_rate": 1.6915978342489033e-05,
|
| 478 |
-
"loss": 0.3637,
|
| 479 |
-
"step": 33500
|
| 480 |
-
},
|
| 481 |
-
{
|
| 482 |
-
"epoch": 1.3437141840888431,
|
| 483 |
-
"grad_norm": 0.21469901502132416,
|
| 484 |
-
"learning_rate": 1.642196577480931e-05,
|
| 485 |
-
"loss": 0.3586,
|
| 486 |
-
"step": 34000
|
| 487 |
-
},
|
| 488 |
-
{
|
| 489 |
-
"epoch": 1.3634746867960321,
|
| 490 |
-
"grad_norm": 0.22413115203380585,
|
| 491 |
-
"learning_rate": 1.592894123226495e-05,
|
| 492 |
-
"loss": 0.3596,
|
| 493 |
-
"step": 34500
|
| 494 |
-
},
|
| 495 |
-
{
|
| 496 |
-
"epoch": 1.3832351895032209,
|
| 497 |
-
"grad_norm": 0.2113995999097824,
|
| 498 |
-
"learning_rate": 1.543492866458523e-05,
|
| 499 |
-
"loss": 0.3547,
|
| 500 |
-
"step": 35000
|
| 501 |
-
},
|
| 502 |
-
{
|
| 503 |
-
"epoch": 1.4029956922104099,
|
| 504 |
-
"grad_norm": 0.19711661338806152,
|
| 505 |
-
"learning_rate": 1.4940916096905506e-05,
|
| 506 |
-
"loss": 0.3601,
|
| 507 |
-
"step": 35500
|
| 508 |
-
},
|
| 509 |
-
{
|
| 510 |
-
"epoch": 1.4227561949175986,
|
| 511 |
-
"grad_norm": 0.24169065058231354,
|
| 512 |
-
"learning_rate": 1.4447891554361142e-05,
|
| 513 |
-
"loss": 0.3582,
|
| 514 |
-
"step": 36000
|
| 515 |
-
},
|
| 516 |
-
{
|
| 517 |
-
"epoch": 1.4425166976247876,
|
| 518 |
-
"grad_norm": 0.2239445596933365,
|
| 519 |
-
"learning_rate": 1.3953878986681421e-05,
|
| 520 |
-
"loss": 0.358,
|
| 521 |
-
"step": 36500
|
| 522 |
-
},
|
| 523 |
-
{
|
| 524 |
-
"epoch": 1.4622772003319764,
|
| 525 |
-
"grad_norm": 0.25448787212371826,
|
| 526 |
-
"learning_rate": 1.3459866419001698e-05,
|
| 527 |
-
"loss": 0.3573,
|
| 528 |
-
"step": 37000
|
| 529 |
-
},
|
| 530 |
-
{
|
| 531 |
-
"epoch": 1.4820377030391654,
|
| 532 |
-
"grad_norm": 0.20836737751960754,
|
| 533 |
-
"learning_rate": 1.296585385132198e-05,
|
| 534 |
-
"loss": 0.3533,
|
| 535 |
-
"step": 37500
|
| 536 |
-
},
|
| 537 |
-
{
|
| 538 |
-
"epoch": 1.5017982057463541,
|
| 539 |
-
"grad_norm": 0.18163880705833435,
|
| 540 |
-
"learning_rate": 1.2471841283642256e-05,
|
| 541 |
-
"loss": 0.3564,
|
| 542 |
-
"step": 38000
|
| 543 |
-
},
|
| 544 |
-
{
|
| 545 |
-
"epoch": 1.5215587084535431,
|
| 546 |
-
"grad_norm": 0.23112539947032928,
|
| 547 |
-
"learning_rate": 1.1978816741097894e-05,
|
| 548 |
-
"loss": 0.3516,
|
| 549 |
-
"step": 38500
|
| 550 |
-
},
|
| 551 |
-
{
|
| 552 |
-
"epoch": 1.541319211160732,
|
| 553 |
-
"grad_norm": 0.18698620796203613,
|
| 554 |
-
"learning_rate": 1.1484804173418171e-05,
|
| 555 |
-
"loss": 0.3534,
|
| 556 |
-
"step": 39000
|
| 557 |
-
},
|
| 558 |
-
{
|
| 559 |
-
"epoch": 1.5610797138679207,
|
| 560 |
-
"grad_norm": 0.2288573682308197,
|
| 561 |
-
"learning_rate": 1.099079160573845e-05,
|
| 562 |
-
"loss": 0.3527,
|
| 563 |
-
"step": 39500
|
| 564 |
-
},
|
| 565 |
-
{
|
| 566 |
-
"epoch": 1.5808402165751096,
|
| 567 |
-
"grad_norm": 0.22100871801376343,
|
| 568 |
-
"learning_rate": 1.0496779038058729e-05,
|
| 569 |
-
"loss": 0.3504,
|
| 570 |
-
"step": 40000
|
| 571 |
-
},
|
| 572 |
-
{
|
| 573 |
-
"epoch": 1.6006007192822986,
|
| 574 |
-
"grad_norm": 0.24465763568878174,
|
| 575 |
-
"learning_rate": 1.0002766470379007e-05,
|
| 576 |
-
"loss": 0.3526,
|
| 577 |
-
"step": 40500
|
| 578 |
-
},
|
| 579 |
-
{
|
| 580 |
-
"epoch": 1.6203612219894874,
|
| 581 |
-
"grad_norm": 0.22944742441177368,
|
| 582 |
-
"learning_rate": 9.508753902699286e-06,
|
| 583 |
-
"loss": 0.3544,
|
| 584 |
-
"step": 41000
|
| 585 |
-
},
|
| 586 |
-
{
|
| 587 |
-
"epoch": 1.6401217246966762,
|
| 588 |
-
"grad_norm": 0.22519248723983765,
|
| 589 |
-
"learning_rate": 9.015729360154923e-06,
|
| 590 |
-
"loss": 0.3507,
|
| 591 |
-
"step": 41500
|
| 592 |
-
},
|
| 593 |
-
{
|
| 594 |
-
"epoch": 1.6598822274038652,
|
| 595 |
-
"grad_norm": 0.21818549931049347,
|
| 596 |
-
"learning_rate": 8.521716792475202e-06,
|
| 597 |
-
"loss": 0.3447,
|
| 598 |
-
"step": 42000
|
| 599 |
-
},
|
| 600 |
-
{
|
| 601 |
-
"epoch": 1.6796427301110541,
|
| 602 |
-
"grad_norm": 0.23688144981861115,
|
| 603 |
-
"learning_rate": 8.027704224795479e-06,
|
| 604 |
-
"loss": 0.3485,
|
| 605 |
-
"step": 42500
|
| 606 |
-
},
|
| 607 |
-
{
|
| 608 |
-
"epoch": 1.699403232818243,
|
| 609 |
-
"grad_norm": 0.2965475916862488,
|
| 610 |
-
"learning_rate": 7.533691657115757e-06,
|
| 611 |
-
"loss": 0.3482,
|
| 612 |
-
"step": 43000
|
| 613 |
-
},
|
| 614 |
-
{
|
| 615 |
-
"epoch": 1.7191637355254317,
|
| 616 |
-
"grad_norm": 0.21588334441184998,
|
| 617 |
-
"learning_rate": 7.039679089436035e-06,
|
| 618 |
-
"loss": 0.3487,
|
| 619 |
-
"step": 43500
|
| 620 |
-
},
|
| 621 |
-
{
|
| 622 |
-
"epoch": 1.7389242382326207,
|
| 623 |
-
"grad_norm": 0.25196942687034607,
|
| 624 |
-
"learning_rate": 6.545666521756313e-06,
|
| 625 |
-
"loss": 0.347,
|
| 626 |
-
"step": 44000
|
| 627 |
-
},
|
| 628 |
-
{
|
| 629 |
-
"epoch": 1.7586847409398096,
|
| 630 |
-
"grad_norm": 0.2386660873889923,
|
| 631 |
-
"learning_rate": 6.051653954076593e-06,
|
| 632 |
-
"loss": 0.3493,
|
| 633 |
-
"step": 44500
|
| 634 |
-
},
|
| 635 |
-
{
|
| 636 |
-
"epoch": 1.7784452436469984,
|
| 637 |
-
"grad_norm": 0.21771515905857086,
|
| 638 |
-
"learning_rate": 5.5586294115322294e-06,
|
| 639 |
-
"loss": 0.3412,
|
| 640 |
-
"step": 45000
|
| 641 |
-
},
|
| 642 |
-
{
|
| 643 |
-
"epoch": 1.7982057463541872,
|
| 644 |
-
"grad_norm": 0.20925763249397278,
|
| 645 |
-
"learning_rate": 5.064616843852508e-06,
|
| 646 |
-
"loss": 0.3451,
|
| 647 |
-
"step": 45500
|
| 648 |
-
},
|
| 649 |
-
{
|
| 650 |
-
"epoch": 1.8179662490613762,
|
| 651 |
-
"grad_norm": 0.21637707948684692,
|
| 652 |
-
"learning_rate": 4.570604276172786e-06,
|
| 653 |
-
"loss": 0.3483,
|
| 654 |
-
"step": 46000
|
| 655 |
-
},
|
| 656 |
-
{
|
| 657 |
-
"epoch": 1.8377267517685651,
|
| 658 |
-
"grad_norm": 0.21756745874881744,
|
| 659 |
-
"learning_rate": 4.076591708493064e-06,
|
| 660 |
-
"loss": 0.3518,
|
| 661 |
-
"step": 46500
|
| 662 |
-
},
|
| 663 |
-
{
|
| 664 |
-
"epoch": 1.857487254475754,
|
| 665 |
-
"grad_norm": 0.21370700001716614,
|
| 666 |
-
"learning_rate": 3.583567165948702e-06,
|
| 667 |
-
"loss": 0.3489,
|
| 668 |
-
"step": 47000
|
| 669 |
-
},
|
| 670 |
-
{
|
| 671 |
-
"epoch": 1.8772477571829427,
|
| 672 |
-
"grad_norm": 0.27830684185028076,
|
| 673 |
-
"learning_rate": 3.0895545982689803e-06,
|
| 674 |
-
"loss": 0.3451,
|
| 675 |
-
"step": 47500
|
| 676 |
-
},
|
| 677 |
-
{
|
| 678 |
-
"epoch": 1.8970082598901317,
|
| 679 |
-
"grad_norm": 0.225153848528862,
|
| 680 |
-
"learning_rate": 2.595542030589258e-06,
|
| 681 |
-
"loss": 0.3451,
|
| 682 |
-
"step": 48000
|
| 683 |
-
},
|
| 684 |
-
{
|
| 685 |
-
"epoch": 1.9167687625973204,
|
| 686 |
-
"grad_norm": 0.2039685696363449,
|
| 687 |
-
"learning_rate": 2.1015294629095364e-06,
|
| 688 |
-
"loss": 0.349,
|
| 689 |
-
"step": 48500
|
| 690 |
-
},
|
| 691 |
-
{
|
| 692 |
-
"epoch": 1.9365292653045092,
|
| 693 |
-
"grad_norm": 0.3599139153957367,
|
| 694 |
-
"learning_rate": 1.607516895229815e-06,
|
| 695 |
-
"loss": 0.3486,
|
| 696 |
-
"step": 49000
|
| 697 |
-
},
|
| 698 |
-
{
|
| 699 |
-
"epoch": 1.9562897680116982,
|
| 700 |
-
"grad_norm": 0.2884109616279602,
|
| 701 |
-
"learning_rate": 1.113504327550093e-06,
|
| 702 |
-
"loss": 0.343,
|
| 703 |
-
"step": 49500
|
| 704 |
-
},
|
| 705 |
-
{
|
| 706 |
-
"epoch": 1.9760502707188872,
|
| 707 |
-
"grad_norm": 0.2130923867225647,
|
| 708 |
-
"learning_rate": 6.194917598703712e-07,
|
| 709 |
-
"loss": 0.347,
|
| 710 |
-
"step": 50000
|
| 711 |
-
},
|
| 712 |
-
{
|
| 713 |
-
"epoch": 1.995810773426076,
|
| 714 |
-
"grad_norm": 0.21081362664699554,
|
| 715 |
-
"learning_rate": 1.2547919219064935e-07,
|
| 716 |
-
"loss": 0.3495,
|
| 717 |
-
"step": 50500
|
| 718 |
-
}
|
| 719 |
-
],
|
| 720 |
-
"logging_steps": 500,
|
| 721 |
-
"max_steps": 50606,
|
| 722 |
-
"num_input_tokens_seen": 0,
|
| 723 |
-
"num_train_epochs": 2,
|
| 724 |
-
"save_steps": 500,
|
| 725 |
-
"stateful_callbacks": {
|
| 726 |
-
"TrainerControl": {
|
| 727 |
-
"args": {
|
| 728 |
-
"should_epoch_stop": false,
|
| 729 |
-
"should_evaluate": false,
|
| 730 |
-
"should_log": false,
|
| 731 |
-
"should_save": true,
|
| 732 |
-
"should_training_stop": false
|
| 733 |
-
},
|
| 734 |
-
"attributes": {}
|
| 735 |
-
}
|
| 736 |
-
},
|
| 737 |
-
"total_flos": 1.0935610791847526e+17,
|
| 738 |
-
"train_batch_size": 32,
|
| 739 |
-
"trial_name": null,
|
| 740 |
-
"trial_params": null
|
| 741 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
checkpoints/checkpoint-50606/trainer_state.json
DELETED
|
@@ -1,741 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"best_global_step": null,
|
| 3 |
-
"best_metric": null,
|
| 4 |
-
"best_model_checkpoint": null,
|
| 5 |
-
"epoch": 2.0,
|
| 6 |
-
"eval_steps": 500,
|
| 7 |
-
"global_step": 50606,
|
| 8 |
-
"is_hyper_param_search": false,
|
| 9 |
-
"is_local_process_zero": true,
|
| 10 |
-
"is_world_process_zero": true,
|
| 11 |
-
"log_history": [
|
| 12 |
-
{
|
| 13 |
-
"epoch": 0.01976050270718887,
|
| 14 |
-
"grad_norm": 0.40364792943000793,
|
| 15 |
-
"learning_rate": 4.951092755799708e-05,
|
| 16 |
-
"loss": 2.1373,
|
| 17 |
-
"step": 500
|
| 18 |
-
},
|
| 19 |
-
{
|
| 20 |
-
"epoch": 0.03952100541437774,
|
| 21 |
-
"grad_norm": 0.5190012454986572,
|
| 22 |
-
"learning_rate": 4.901691499031736e-05,
|
| 23 |
-
"loss": 1.1731,
|
| 24 |
-
"step": 1000
|
| 25 |
-
},
|
| 26 |
-
{
|
| 27 |
-
"epoch": 0.059281508121566615,
|
| 28 |
-
"grad_norm": 0.44221577048301697,
|
| 29 |
-
"learning_rate": 4.8522902422637634e-05,
|
| 30 |
-
"loss": 0.9673,
|
| 31 |
-
"step": 1500
|
| 32 |
-
},
|
| 33 |
-
{
|
| 34 |
-
"epoch": 0.07904201082875548,
|
| 35 |
-
"grad_norm": 0.3572881817817688,
|
| 36 |
-
"learning_rate": 4.8028889854957916e-05,
|
| 37 |
-
"loss": 0.8537,
|
| 38 |
-
"step": 2000
|
| 39 |
-
},
|
| 40 |
-
{
|
| 41 |
-
"epoch": 0.09880251353594435,
|
| 42 |
-
"grad_norm": 0.36681538820266724,
|
| 43 |
-
"learning_rate": 4.753487728727819e-05,
|
| 44 |
-
"loss": 0.77,
|
| 45 |
-
"step": 2500
|
| 46 |
-
},
|
| 47 |
-
{
|
| 48 |
-
"epoch": 0.11856301624313323,
|
| 49 |
-
"grad_norm": 0.3278830647468567,
|
| 50 |
-
"learning_rate": 4.7040864719598474e-05,
|
| 51 |
-
"loss": 0.7379,
|
| 52 |
-
"step": 3000
|
| 53 |
-
},
|
| 54 |
-
{
|
| 55 |
-
"epoch": 0.1383235189503221,
|
| 56 |
-
"grad_norm": 0.32520031929016113,
|
| 57 |
-
"learning_rate": 4.654685215191875e-05,
|
| 58 |
-
"loss": 0.6918,
|
| 59 |
-
"step": 3500
|
| 60 |
-
},
|
| 61 |
-
{
|
| 62 |
-
"epoch": 0.15808402165751095,
|
| 63 |
-
"grad_norm": 0.3115929961204529,
|
| 64 |
-
"learning_rate": 4.6052839584239024e-05,
|
| 65 |
-
"loss": 0.6635,
|
| 66 |
-
"step": 4000
|
| 67 |
-
},
|
| 68 |
-
{
|
| 69 |
-
"epoch": 0.17784452436469983,
|
| 70 |
-
"grad_norm": 0.309794157743454,
|
| 71 |
-
"learning_rate": 4.55588270165593e-05,
|
| 72 |
-
"loss": 0.6363,
|
| 73 |
-
"step": 4500
|
| 74 |
-
},
|
| 75 |
-
{
|
| 76 |
-
"epoch": 0.1976050270718887,
|
| 77 |
-
"grad_norm": 0.3163657784461975,
|
| 78 |
-
"learning_rate": 4.506481444887958e-05,
|
| 79 |
-
"loss": 0.6113,
|
| 80 |
-
"step": 5000
|
| 81 |
-
},
|
| 82 |
-
{
|
| 83 |
-
"epoch": 0.21736552977907758,
|
| 84 |
-
"grad_norm": 0.27902352809906006,
|
| 85 |
-
"learning_rate": 4.457080188119986e-05,
|
| 86 |
-
"loss": 0.5899,
|
| 87 |
-
"step": 5500
|
| 88 |
-
},
|
| 89 |
-
{
|
| 90 |
-
"epoch": 0.23712603248626646,
|
| 91 |
-
"grad_norm": 0.26167234778404236,
|
| 92 |
-
"learning_rate": 4.407678931352014e-05,
|
| 93 |
-
"loss": 0.58,
|
| 94 |
-
"step": 6000
|
| 95 |
-
},
|
| 96 |
-
{
|
| 97 |
-
"epoch": 0.25688653519345533,
|
| 98 |
-
"grad_norm": 0.30986905097961426,
|
| 99 |
-
"learning_rate": 4.3582776745840415e-05,
|
| 100 |
-
"loss": 0.5632,
|
| 101 |
-
"step": 6500
|
| 102 |
-
},
|
| 103 |
-
{
|
| 104 |
-
"epoch": 0.2766470379006442,
|
| 105 |
-
"grad_norm": 0.28008660674095154,
|
| 106 |
-
"learning_rate": 4.30887641781607e-05,
|
| 107 |
-
"loss": 0.5478,
|
| 108 |
-
"step": 7000
|
| 109 |
-
},
|
| 110 |
-
{
|
| 111 |
-
"epoch": 0.2964075406078331,
|
| 112 |
-
"grad_norm": 0.2860545516014099,
|
| 113 |
-
"learning_rate": 4.259475161048097e-05,
|
| 114 |
-
"loss": 0.541,
|
| 115 |
-
"step": 7500
|
| 116 |
-
},
|
| 117 |
-
{
|
| 118 |
-
"epoch": 0.3161680433150219,
|
| 119 |
-
"grad_norm": 0.23841875791549683,
|
| 120 |
-
"learning_rate": 4.2100739042801254e-05,
|
| 121 |
-
"loss": 0.5261,
|
| 122 |
-
"step": 8000
|
| 123 |
-
},
|
| 124 |
-
{
|
| 125 |
-
"epoch": 0.3359285460222108,
|
| 126 |
-
"grad_norm": 0.24955500662326813,
|
| 127 |
-
"learning_rate": 4.160672647512153e-05,
|
| 128 |
-
"loss": 0.5184,
|
| 129 |
-
"step": 8500
|
| 130 |
-
},
|
| 131 |
-
{
|
| 132 |
-
"epoch": 0.35568904872939966,
|
| 133 |
-
"grad_norm": 0.28650936484336853,
|
| 134 |
-
"learning_rate": 4.1112713907441805e-05,
|
| 135 |
-
"loss": 0.5092,
|
| 136 |
-
"step": 9000
|
| 137 |
-
},
|
| 138 |
-
{
|
| 139 |
-
"epoch": 0.37544955143658854,
|
| 140 |
-
"grad_norm": 0.26088303327560425,
|
| 141 |
-
"learning_rate": 4.061870133976208e-05,
|
| 142 |
-
"loss": 0.4939,
|
| 143 |
-
"step": 9500
|
| 144 |
-
},
|
| 145 |
-
{
|
| 146 |
-
"epoch": 0.3952100541437774,
|
| 147 |
-
"grad_norm": 0.27843499183654785,
|
| 148 |
-
"learning_rate": 4.012468877208236e-05,
|
| 149 |
-
"loss": 0.493,
|
| 150 |
-
"step": 10000
|
| 151 |
-
},
|
| 152 |
-
{
|
| 153 |
-
"epoch": 0.4149705568509663,
|
| 154 |
-
"grad_norm": 0.45379650592803955,
|
| 155 |
-
"learning_rate": 3.963067620440264e-05,
|
| 156 |
-
"loss": 0.4824,
|
| 157 |
-
"step": 10500
|
| 158 |
-
},
|
| 159 |
-
{
|
| 160 |
-
"epoch": 0.43473105955815516,
|
| 161 |
-
"grad_norm": 0.29186248779296875,
|
| 162 |
-
"learning_rate": 3.913666363672292e-05,
|
| 163 |
-
"loss": 0.4743,
|
| 164 |
-
"step": 11000
|
| 165 |
-
},
|
| 166 |
-
{
|
| 167 |
-
"epoch": 0.45449156226534404,
|
| 168 |
-
"grad_norm": 0.2711990475654602,
|
| 169 |
-
"learning_rate": 3.86426510690432e-05,
|
| 170 |
-
"loss": 0.4684,
|
| 171 |
-
"step": 11500
|
| 172 |
-
},
|
| 173 |
-
{
|
| 174 |
-
"epoch": 0.4742520649725329,
|
| 175 |
-
"grad_norm": 0.2682012915611267,
|
| 176 |
-
"learning_rate": 3.814863850136348e-05,
|
| 177 |
-
"loss": 0.4674,
|
| 178 |
-
"step": 12000
|
| 179 |
-
},
|
| 180 |
-
{
|
| 181 |
-
"epoch": 0.4940125676797218,
|
| 182 |
-
"grad_norm": 0.3144526183605194,
|
| 183 |
-
"learning_rate": 3.765462593368376e-05,
|
| 184 |
-
"loss": 0.4565,
|
| 185 |
-
"step": 12500
|
| 186 |
-
},
|
| 187 |
-
{
|
| 188 |
-
"epoch": 0.5137730703869107,
|
| 189 |
-
"grad_norm": 0.24828797578811646,
|
| 190 |
-
"learning_rate": 3.7160613366004034e-05,
|
| 191 |
-
"loss": 0.4601,
|
| 192 |
-
"step": 13000
|
| 193 |
-
},
|
| 194 |
-
{
|
| 195 |
-
"epoch": 0.5335335730940995,
|
| 196 |
-
"grad_norm": 0.23556892573833466,
|
| 197 |
-
"learning_rate": 3.6666600798324317e-05,
|
| 198 |
-
"loss": 0.4456,
|
| 199 |
-
"step": 13500
|
| 200 |
-
},
|
| 201 |
-
{
|
| 202 |
-
"epoch": 0.5532940758012884,
|
| 203 |
-
"grad_norm": 0.20168079435825348,
|
| 204 |
-
"learning_rate": 3.617258823064459e-05,
|
| 205 |
-
"loss": 0.4416,
|
| 206 |
-
"step": 14000
|
| 207 |
-
},
|
| 208 |
-
{
|
| 209 |
-
"epoch": 0.5730545785084773,
|
| 210 |
-
"grad_norm": 0.26364487409591675,
|
| 211 |
-
"learning_rate": 3.567857566296487e-05,
|
| 212 |
-
"loss": 0.4394,
|
| 213 |
-
"step": 14500
|
| 214 |
-
},
|
| 215 |
-
{
|
| 216 |
-
"epoch": 0.5928150812156662,
|
| 217 |
-
"grad_norm": 0.22534222900867462,
|
| 218 |
-
"learning_rate": 3.518456309528514e-05,
|
| 219 |
-
"loss": 0.4371,
|
| 220 |
-
"step": 15000
|
| 221 |
-
},
|
| 222 |
-
{
|
| 223 |
-
"epoch": 0.612575583922855,
|
| 224 |
-
"grad_norm": 0.2668949067592621,
|
| 225 |
-
"learning_rate": 3.4690550527605425e-05,
|
| 226 |
-
"loss": 0.4292,
|
| 227 |
-
"step": 15500
|
| 228 |
-
},
|
| 229 |
-
{
|
| 230 |
-
"epoch": 0.6323360866300438,
|
| 231 |
-
"grad_norm": 0.26472756266593933,
|
| 232 |
-
"learning_rate": 3.41965379599257e-05,
|
| 233 |
-
"loss": 0.4271,
|
| 234 |
-
"step": 16000
|
| 235 |
-
},
|
| 236 |
-
{
|
| 237 |
-
"epoch": 0.6520965893372327,
|
| 238 |
-
"grad_norm": 0.238133504986763,
|
| 239 |
-
"learning_rate": 3.3703513417381335e-05,
|
| 240 |
-
"loss": 0.4214,
|
| 241 |
-
"step": 16500
|
| 242 |
-
},
|
| 243 |
-
{
|
| 244 |
-
"epoch": 0.6718570920444216,
|
| 245 |
-
"grad_norm": 0.19885075092315674,
|
| 246 |
-
"learning_rate": 3.320950084970162e-05,
|
| 247 |
-
"loss": 0.4178,
|
| 248 |
-
"step": 17000
|
| 249 |
-
},
|
| 250 |
-
{
|
| 251 |
-
"epoch": 0.6916175947516104,
|
| 252 |
-
"grad_norm": 0.2647489309310913,
|
| 253 |
-
"learning_rate": 3.271548828202189e-05,
|
| 254 |
-
"loss": 0.4171,
|
| 255 |
-
"step": 17500
|
| 256 |
-
},
|
| 257 |
-
{
|
| 258 |
-
"epoch": 0.7113780974587993,
|
| 259 |
-
"grad_norm": 0.2713819444179535,
|
| 260 |
-
"learning_rate": 3.2221475714342175e-05,
|
| 261 |
-
"loss": 0.4152,
|
| 262 |
-
"step": 18000
|
| 263 |
-
},
|
| 264 |
-
{
|
| 265 |
-
"epoch": 0.7311386001659882,
|
| 266 |
-
"grad_norm": 0.21879780292510986,
|
| 267 |
-
"learning_rate": 3.172845117179781e-05,
|
| 268 |
-
"loss": 0.4124,
|
| 269 |
-
"step": 18500
|
| 270 |
-
},
|
| 271 |
-
{
|
| 272 |
-
"epoch": 0.7508991028731771,
|
| 273 |
-
"grad_norm": 0.21214431524276733,
|
| 274 |
-
"learning_rate": 3.1234438604118085e-05,
|
| 275 |
-
"loss": 0.4046,
|
| 276 |
-
"step": 19000
|
| 277 |
-
},
|
| 278 |
-
{
|
| 279 |
-
"epoch": 0.770659605580366,
|
| 280 |
-
"grad_norm": 0.23132909834384918,
|
| 281 |
-
"learning_rate": 3.074042603643837e-05,
|
| 282 |
-
"loss": 0.4074,
|
| 283 |
-
"step": 19500
|
| 284 |
-
},
|
| 285 |
-
{
|
| 286 |
-
"epoch": 0.7904201082875548,
|
| 287 |
-
"grad_norm": 0.25402024388313293,
|
| 288 |
-
"learning_rate": 3.0246413468758646e-05,
|
| 289 |
-
"loss": 0.4025,
|
| 290 |
-
"step": 20000
|
| 291 |
-
},
|
| 292 |
-
{
|
| 293 |
-
"epoch": 0.8101806109947437,
|
| 294 |
-
"grad_norm": 0.24344465136528015,
|
| 295 |
-
"learning_rate": 2.9754376951349644e-05,
|
| 296 |
-
"loss": 0.3954,
|
| 297 |
-
"step": 20500
|
| 298 |
-
},
|
| 299 |
-
{
|
| 300 |
-
"epoch": 0.8299411137019326,
|
| 301 |
-
"grad_norm": 0.35887858271598816,
|
| 302 |
-
"learning_rate": 2.926036438366992e-05,
|
| 303 |
-
"loss": 0.3999,
|
| 304 |
-
"step": 21000
|
| 305 |
-
},
|
| 306 |
-
{
|
| 307 |
-
"epoch": 0.8497016164091215,
|
| 308 |
-
"grad_norm": 0.2312784641981125,
|
| 309 |
-
"learning_rate": 2.87663518159902e-05,
|
| 310 |
-
"loss": 0.3953,
|
| 311 |
-
"step": 21500
|
| 312 |
-
},
|
| 313 |
-
{
|
| 314 |
-
"epoch": 0.8694621191163103,
|
| 315 |
-
"grad_norm": 0.25101277232170105,
|
| 316 |
-
"learning_rate": 2.8273327273445837e-05,
|
| 317 |
-
"loss": 0.394,
|
| 318 |
-
"step": 22000
|
| 319 |
-
},
|
| 320 |
-
{
|
| 321 |
-
"epoch": 0.8892226218234992,
|
| 322 |
-
"grad_norm": 0.2582937479019165,
|
| 323 |
-
"learning_rate": 2.777931470576612e-05,
|
| 324 |
-
"loss": 0.3936,
|
| 325 |
-
"step": 22500
|
| 326 |
-
},
|
| 327 |
-
{
|
| 328 |
-
"epoch": 0.9089831245306881,
|
| 329 |
-
"grad_norm": 0.20885373651981354,
|
| 330 |
-
"learning_rate": 2.7285302138086394e-05,
|
| 331 |
-
"loss": 0.384,
|
| 332 |
-
"step": 23000
|
| 333 |
-
},
|
| 334 |
-
{
|
| 335 |
-
"epoch": 0.928743627237877,
|
| 336 |
-
"grad_norm": 0.23662053048610687,
|
| 337 |
-
"learning_rate": 2.6791289570406676e-05,
|
| 338 |
-
"loss": 0.3818,
|
| 339 |
-
"step": 23500
|
| 340 |
-
},
|
| 341 |
-
{
|
| 342 |
-
"epoch": 0.9485041299450658,
|
| 343 |
-
"grad_norm": 0.23784968256950378,
|
| 344 |
-
"learning_rate": 2.629727700272695e-05,
|
| 345 |
-
"loss": 0.3884,
|
| 346 |
-
"step": 24000
|
| 347 |
-
},
|
| 348 |
-
{
|
| 349 |
-
"epoch": 0.9682646326522547,
|
| 350 |
-
"grad_norm": 0.24405881762504578,
|
| 351 |
-
"learning_rate": 2.5804252460182587e-05,
|
| 352 |
-
"loss": 0.384,
|
| 353 |
-
"step": 24500
|
| 354 |
-
},
|
| 355 |
-
{
|
| 356 |
-
"epoch": 0.9880251353594436,
|
| 357 |
-
"grad_norm": 0.18989978730678558,
|
| 358 |
-
"learning_rate": 2.531023989250287e-05,
|
| 359 |
-
"loss": 0.3821,
|
| 360 |
-
"step": 25000
|
| 361 |
-
},
|
| 362 |
-
{
|
| 363 |
-
"epoch": 1.0077856380666323,
|
| 364 |
-
"grad_norm": 0.22834104299545288,
|
| 365 |
-
"learning_rate": 2.4816227324823144e-05,
|
| 366 |
-
"loss": 0.3801,
|
| 367 |
-
"step": 25500
|
| 368 |
-
},
|
| 369 |
-
{
|
| 370 |
-
"epoch": 1.0275461407738213,
|
| 371 |
-
"grad_norm": 0.30803126096725464,
|
| 372 |
-
"learning_rate": 2.4322214757143423e-05,
|
| 373 |
-
"loss": 0.3739,
|
| 374 |
-
"step": 26000
|
| 375 |
-
},
|
| 376 |
-
{
|
| 377 |
-
"epoch": 1.04730664348101,
|
| 378 |
-
"grad_norm": 0.21231615543365479,
|
| 379 |
-
"learning_rate": 2.3828202189463698e-05,
|
| 380 |
-
"loss": 0.3791,
|
| 381 |
-
"step": 26500
|
| 382 |
-
},
|
| 383 |
-
{
|
| 384 |
-
"epoch": 1.067067146188199,
|
| 385 |
-
"grad_norm": 0.26202794909477234,
|
| 386 |
-
"learning_rate": 2.333418962178398e-05,
|
| 387 |
-
"loss": 0.3739,
|
| 388 |
-
"step": 27000
|
| 389 |
-
},
|
| 390 |
-
{
|
| 391 |
-
"epoch": 1.0868276488953879,
|
| 392 |
-
"grad_norm": 0.21842999756336212,
|
| 393 |
-
"learning_rate": 2.284017705410426e-05,
|
| 394 |
-
"loss": 0.377,
|
| 395 |
-
"step": 27500
|
| 396 |
-
},
|
| 397 |
-
{
|
| 398 |
-
"epoch": 1.1065881516025768,
|
| 399 |
-
"grad_norm": 0.22890307009220123,
|
| 400 |
-
"learning_rate": 2.2346164486424538e-05,
|
| 401 |
-
"loss": 0.3733,
|
| 402 |
-
"step": 28000
|
| 403 |
-
},
|
| 404 |
-
{
|
| 405 |
-
"epoch": 1.1263486543097656,
|
| 406 |
-
"grad_norm": 0.20813824236392975,
|
| 407 |
-
"learning_rate": 2.1852151918744816e-05,
|
| 408 |
-
"loss": 0.37,
|
| 409 |
-
"step": 28500
|
| 410 |
-
},
|
| 411 |
-
{
|
| 412 |
-
"epoch": 1.1461091570169546,
|
| 413 |
-
"grad_norm": 0.2490423172712326,
|
| 414 |
-
"learning_rate": 2.1358139351065092e-05,
|
| 415 |
-
"loss": 0.3704,
|
| 416 |
-
"step": 29000
|
| 417 |
-
},
|
| 418 |
-
{
|
| 419 |
-
"epoch": 1.1658696597241434,
|
| 420 |
-
"grad_norm": 0.20076008141040802,
|
| 421 |
-
"learning_rate": 2.086511480852073e-05,
|
| 422 |
-
"loss": 0.3733,
|
| 423 |
-
"step": 29500
|
| 424 |
-
},
|
| 425 |
-
{
|
| 426 |
-
"epoch": 1.1856301624313323,
|
| 427 |
-
"grad_norm": 0.20791497826576233,
|
| 428 |
-
"learning_rate": 2.037110224084101e-05,
|
| 429 |
-
"loss": 0.3682,
|
| 430 |
-
"step": 30000
|
| 431 |
-
},
|
| 432 |
-
{
|
| 433 |
-
"epoch": 1.2053906651385211,
|
| 434 |
-
"grad_norm": 0.3393056094646454,
|
| 435 |
-
"learning_rate": 1.9878077698296648e-05,
|
| 436 |
-
"loss": 0.3687,
|
| 437 |
-
"step": 30500
|
| 438 |
-
},
|
| 439 |
-
{
|
| 440 |
-
"epoch": 1.22515116784571,
|
| 441 |
-
"grad_norm": 0.21395719051361084,
|
| 442 |
-
"learning_rate": 1.9384065130616923e-05,
|
| 443 |
-
"loss": 0.3649,
|
| 444 |
-
"step": 31000
|
| 445 |
-
},
|
| 446 |
-
{
|
| 447 |
-
"epoch": 1.2449116705528989,
|
| 448 |
-
"grad_norm": 0.23558488488197327,
|
| 449 |
-
"learning_rate": 1.889104058807256e-05,
|
| 450 |
-
"loss": 0.366,
|
| 451 |
-
"step": 31500
|
| 452 |
-
},
|
| 453 |
-
{
|
| 454 |
-
"epoch": 1.2646721732600876,
|
| 455 |
-
"grad_norm": 0.2056606411933899,
|
| 456 |
-
"learning_rate": 1.839702802039284e-05,
|
| 457 |
-
"loss": 0.363,
|
| 458 |
-
"step": 32000
|
| 459 |
-
},
|
| 460 |
-
{
|
| 461 |
-
"epoch": 1.2844326759672766,
|
| 462 |
-
"grad_norm": 0.2141130417585373,
|
| 463 |
-
"learning_rate": 1.790400347784848e-05,
|
| 464 |
-
"loss": 0.3671,
|
| 465 |
-
"step": 32500
|
| 466 |
-
},
|
| 467 |
-
{
|
| 468 |
-
"epoch": 1.3041931786744656,
|
| 469 |
-
"grad_norm": 0.20828750729560852,
|
| 470 |
-
"learning_rate": 1.7409990910168754e-05,
|
| 471 |
-
"loss": 0.3635,
|
| 472 |
-
"step": 33000
|
| 473 |
-
},
|
| 474 |
-
{
|
| 475 |
-
"epoch": 1.3239536813816544,
|
| 476 |
-
"grad_norm": 0.18149369955062866,
|
| 477 |
-
"learning_rate": 1.6915978342489033e-05,
|
| 478 |
-
"loss": 0.3637,
|
| 479 |
-
"step": 33500
|
| 480 |
-
},
|
| 481 |
-
{
|
| 482 |
-
"epoch": 1.3437141840888431,
|
| 483 |
-
"grad_norm": 0.21469901502132416,
|
| 484 |
-
"learning_rate": 1.642196577480931e-05,
|
| 485 |
-
"loss": 0.3586,
|
| 486 |
-
"step": 34000
|
| 487 |
-
},
|
| 488 |
-
{
|
| 489 |
-
"epoch": 1.3634746867960321,
|
| 490 |
-
"grad_norm": 0.22413115203380585,
|
| 491 |
-
"learning_rate": 1.592894123226495e-05,
|
| 492 |
-
"loss": 0.3596,
|
| 493 |
-
"step": 34500
|
| 494 |
-
},
|
| 495 |
-
{
|
| 496 |
-
"epoch": 1.3832351895032209,
|
| 497 |
-
"grad_norm": 0.2113995999097824,
|
| 498 |
-
"learning_rate": 1.543492866458523e-05,
|
| 499 |
-
"loss": 0.3547,
|
| 500 |
-
"step": 35000
|
| 501 |
-
},
|
| 502 |
-
{
|
| 503 |
-
"epoch": 1.4029956922104099,
|
| 504 |
-
"grad_norm": 0.19711661338806152,
|
| 505 |
-
"learning_rate": 1.4940916096905506e-05,
|
| 506 |
-
"loss": 0.3601,
|
| 507 |
-
"step": 35500
|
| 508 |
-
},
|
| 509 |
-
{
|
| 510 |
-
"epoch": 1.4227561949175986,
|
| 511 |
-
"grad_norm": 0.24169065058231354,
|
| 512 |
-
"learning_rate": 1.4447891554361142e-05,
|
| 513 |
-
"loss": 0.3582,
|
| 514 |
-
"step": 36000
|
| 515 |
-
},
|
| 516 |
-
{
|
| 517 |
-
"epoch": 1.4425166976247876,
|
| 518 |
-
"grad_norm": 0.2239445596933365,
|
| 519 |
-
"learning_rate": 1.3953878986681421e-05,
|
| 520 |
-
"loss": 0.358,
|
| 521 |
-
"step": 36500
|
| 522 |
-
},
|
| 523 |
-
{
|
| 524 |
-
"epoch": 1.4622772003319764,
|
| 525 |
-
"grad_norm": 0.25448787212371826,
|
| 526 |
-
"learning_rate": 1.3459866419001698e-05,
|
| 527 |
-
"loss": 0.3573,
|
| 528 |
-
"step": 37000
|
| 529 |
-
},
|
| 530 |
-
{
|
| 531 |
-
"epoch": 1.4820377030391654,
|
| 532 |
-
"grad_norm": 0.20836737751960754,
|
| 533 |
-
"learning_rate": 1.296585385132198e-05,
|
| 534 |
-
"loss": 0.3533,
|
| 535 |
-
"step": 37500
|
| 536 |
-
},
|
| 537 |
-
{
|
| 538 |
-
"epoch": 1.5017982057463541,
|
| 539 |
-
"grad_norm": 0.18163880705833435,
|
| 540 |
-
"learning_rate": 1.2471841283642256e-05,
|
| 541 |
-
"loss": 0.3564,
|
| 542 |
-
"step": 38000
|
| 543 |
-
},
|
| 544 |
-
{
|
| 545 |
-
"epoch": 1.5215587084535431,
|
| 546 |
-
"grad_norm": 0.23112539947032928,
|
| 547 |
-
"learning_rate": 1.1978816741097894e-05,
|
| 548 |
-
"loss": 0.3516,
|
| 549 |
-
"step": 38500
|
| 550 |
-
},
|
| 551 |
-
{
|
| 552 |
-
"epoch": 1.541319211160732,
|
| 553 |
-
"grad_norm": 0.18698620796203613,
|
| 554 |
-
"learning_rate": 1.1484804173418171e-05,
|
| 555 |
-
"loss": 0.3534,
|
| 556 |
-
"step": 39000
|
| 557 |
-
},
|
| 558 |
-
{
|
| 559 |
-
"epoch": 1.5610797138679207,
|
| 560 |
-
"grad_norm": 0.2288573682308197,
|
| 561 |
-
"learning_rate": 1.099079160573845e-05,
|
| 562 |
-
"loss": 0.3527,
|
| 563 |
-
"step": 39500
|
| 564 |
-
},
|
| 565 |
-
{
|
| 566 |
-
"epoch": 1.5808402165751096,
|
| 567 |
-
"grad_norm": 0.22100871801376343,
|
| 568 |
-
"learning_rate": 1.0496779038058729e-05,
|
| 569 |
-
"loss": 0.3504,
|
| 570 |
-
"step": 40000
|
| 571 |
-
},
|
| 572 |
-
{
|
| 573 |
-
"epoch": 1.6006007192822986,
|
| 574 |
-
"grad_norm": 0.24465763568878174,
|
| 575 |
-
"learning_rate": 1.0002766470379007e-05,
|
| 576 |
-
"loss": 0.3526,
|
| 577 |
-
"step": 40500
|
| 578 |
-
},
|
| 579 |
-
{
|
| 580 |
-
"epoch": 1.6203612219894874,
|
| 581 |
-
"grad_norm": 0.22944742441177368,
|
| 582 |
-
"learning_rate": 9.508753902699286e-06,
|
| 583 |
-
"loss": 0.3544,
|
| 584 |
-
"step": 41000
|
| 585 |
-
},
|
| 586 |
-
{
|
| 587 |
-
"epoch": 1.6401217246966762,
|
| 588 |
-
"grad_norm": 0.22519248723983765,
|
| 589 |
-
"learning_rate": 9.015729360154923e-06,
|
| 590 |
-
"loss": 0.3507,
|
| 591 |
-
"step": 41500
|
| 592 |
-
},
|
| 593 |
-
{
|
| 594 |
-
"epoch": 1.6598822274038652,
|
| 595 |
-
"grad_norm": 0.21818549931049347,
|
| 596 |
-
"learning_rate": 8.521716792475202e-06,
|
| 597 |
-
"loss": 0.3447,
|
| 598 |
-
"step": 42000
|
| 599 |
-
},
|
| 600 |
-
{
|
| 601 |
-
"epoch": 1.6796427301110541,
|
| 602 |
-
"grad_norm": 0.23688144981861115,
|
| 603 |
-
"learning_rate": 8.027704224795479e-06,
|
| 604 |
-
"loss": 0.3485,
|
| 605 |
-
"step": 42500
|
| 606 |
-
},
|
| 607 |
-
{
|
| 608 |
-
"epoch": 1.699403232818243,
|
| 609 |
-
"grad_norm": 0.2965475916862488,
|
| 610 |
-
"learning_rate": 7.533691657115757e-06,
|
| 611 |
-
"loss": 0.3482,
|
| 612 |
-
"step": 43000
|
| 613 |
-
},
|
| 614 |
-
{
|
| 615 |
-
"epoch": 1.7191637355254317,
|
| 616 |
-
"grad_norm": 0.21588334441184998,
|
| 617 |
-
"learning_rate": 7.039679089436035e-06,
|
| 618 |
-
"loss": 0.3487,
|
| 619 |
-
"step": 43500
|
| 620 |
-
},
|
| 621 |
-
{
|
| 622 |
-
"epoch": 1.7389242382326207,
|
| 623 |
-
"grad_norm": 0.25196942687034607,
|
| 624 |
-
"learning_rate": 6.545666521756313e-06,
|
| 625 |
-
"loss": 0.347,
|
| 626 |
-
"step": 44000
|
| 627 |
-
},
|
| 628 |
-
{
|
| 629 |
-
"epoch": 1.7586847409398096,
|
| 630 |
-
"grad_norm": 0.2386660873889923,
|
| 631 |
-
"learning_rate": 6.051653954076593e-06,
|
| 632 |
-
"loss": 0.3493,
|
| 633 |
-
"step": 44500
|
| 634 |
-
},
|
| 635 |
-
{
|
| 636 |
-
"epoch": 1.7784452436469984,
|
| 637 |
-
"grad_norm": 0.21771515905857086,
|
| 638 |
-
"learning_rate": 5.5586294115322294e-06,
|
| 639 |
-
"loss": 0.3412,
|
| 640 |
-
"step": 45000
|
| 641 |
-
},
|
| 642 |
-
{
|
| 643 |
-
"epoch": 1.7982057463541872,
|
| 644 |
-
"grad_norm": 0.20925763249397278,
|
| 645 |
-
"learning_rate": 5.064616843852508e-06,
|
| 646 |
-
"loss": 0.3451,
|
| 647 |
-
"step": 45500
|
| 648 |
-
},
|
| 649 |
-
{
|
| 650 |
-
"epoch": 1.8179662490613762,
|
| 651 |
-
"grad_norm": 0.21637707948684692,
|
| 652 |
-
"learning_rate": 4.570604276172786e-06,
|
| 653 |
-
"loss": 0.3483,
|
| 654 |
-
"step": 46000
|
| 655 |
-
},
|
| 656 |
-
{
|
| 657 |
-
"epoch": 1.8377267517685651,
|
| 658 |
-
"grad_norm": 0.21756745874881744,
|
| 659 |
-
"learning_rate": 4.076591708493064e-06,
|
| 660 |
-
"loss": 0.3518,
|
| 661 |
-
"step": 46500
|
| 662 |
-
},
|
| 663 |
-
{
|
| 664 |
-
"epoch": 1.857487254475754,
|
| 665 |
-
"grad_norm": 0.21370700001716614,
|
| 666 |
-
"learning_rate": 3.583567165948702e-06,
|
| 667 |
-
"loss": 0.3489,
|
| 668 |
-
"step": 47000
|
| 669 |
-
},
|
| 670 |
-
{
|
| 671 |
-
"epoch": 1.8772477571829427,
|
| 672 |
-
"grad_norm": 0.27830684185028076,
|
| 673 |
-
"learning_rate": 3.0895545982689803e-06,
|
| 674 |
-
"loss": 0.3451,
|
| 675 |
-
"step": 47500
|
| 676 |
-
},
|
| 677 |
-
{
|
| 678 |
-
"epoch": 1.8970082598901317,
|
| 679 |
-
"grad_norm": 0.225153848528862,
|
| 680 |
-
"learning_rate": 2.595542030589258e-06,
|
| 681 |
-
"loss": 0.3451,
|
| 682 |
-
"step": 48000
|
| 683 |
-
},
|
| 684 |
-
{
|
| 685 |
-
"epoch": 1.9167687625973204,
|
| 686 |
-
"grad_norm": 0.2039685696363449,
|
| 687 |
-
"learning_rate": 2.1015294629095364e-06,
|
| 688 |
-
"loss": 0.349,
|
| 689 |
-
"step": 48500
|
| 690 |
-
},
|
| 691 |
-
{
|
| 692 |
-
"epoch": 1.9365292653045092,
|
| 693 |
-
"grad_norm": 0.3599139153957367,
|
| 694 |
-
"learning_rate": 1.607516895229815e-06,
|
| 695 |
-
"loss": 0.3486,
|
| 696 |
-
"step": 49000
|
| 697 |
-
},
|
| 698 |
-
{
|
| 699 |
-
"epoch": 1.9562897680116982,
|
| 700 |
-
"grad_norm": 0.2884109616279602,
|
| 701 |
-
"learning_rate": 1.113504327550093e-06,
|
| 702 |
-
"loss": 0.343,
|
| 703 |
-
"step": 49500
|
| 704 |
-
},
|
| 705 |
-
{
|
| 706 |
-
"epoch": 1.9760502707188872,
|
| 707 |
-
"grad_norm": 0.2130923867225647,
|
| 708 |
-
"learning_rate": 6.194917598703712e-07,
|
| 709 |
-
"loss": 0.347,
|
| 710 |
-
"step": 50000
|
| 711 |
-
},
|
| 712 |
-
{
|
| 713 |
-
"epoch": 1.995810773426076,
|
| 714 |
-
"grad_norm": 0.21081362664699554,
|
| 715 |
-
"learning_rate": 1.2547919219064935e-07,
|
| 716 |
-
"loss": 0.3495,
|
| 717 |
-
"step": 50500
|
| 718 |
-
}
|
| 719 |
-
],
|
| 720 |
-
"logging_steps": 500,
|
| 721 |
-
"max_steps": 50606,
|
| 722 |
-
"num_input_tokens_seen": 0,
|
| 723 |
-
"num_train_epochs": 2,
|
| 724 |
-
"save_steps": 500,
|
| 725 |
-
"stateful_callbacks": {
|
| 726 |
-
"TrainerControl": {
|
| 727 |
-
"args": {
|
| 728 |
-
"should_epoch_stop": false,
|
| 729 |
-
"should_evaluate": false,
|
| 730 |
-
"should_log": false,
|
| 731 |
-
"should_save": true,
|
| 732 |
-
"should_training_stop": true
|
| 733 |
-
},
|
| 734 |
-
"attributes": {}
|
| 735 |
-
}
|
| 736 |
-
},
|
| 737 |
-
"total_flos": 1.0958557994287104e+17,
|
| 738 |
-
"train_batch_size": 32,
|
| 739 |
-
"trial_name": null,
|
| 740 |
-
"trial_params": null
|
| 741 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
checkpoints/{checkpoint-50000 → checkpoint-61500}/config.json
RENAMED
|
File without changes
|
checkpoints/{checkpoint-50000 → checkpoint-61500}/generation_config.json
RENAMED
|
File without changes
|
checkpoints/{checkpoint-50000 → checkpoint-61500}/model.safetensors
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 242041896
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:08bb2f5549ca7a4686fa163f40a3a840a02556dd674b562f51a7d4b3bbb25446
|
| 3 |
size 242041896
|
checkpoints/{checkpoint-50500 → checkpoint-61500}/optimizer.pt
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 484163514
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b3c0b1cfae7064c3e583c81fc7b89d7d3c6a5688579e6e54be3d400f2a760681
|
| 3 |
size 484163514
|
checkpoints/{checkpoint-50606 → checkpoint-61500}/rng_state.pth
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14244
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:451ec28fae2c51302e3d439040b8e5e6eb5b4c0d1c58af17230cc30adbfb2190
|
| 3 |
size 14244
|
checkpoints/{checkpoint-50606 → checkpoint-61500}/scaler.pt
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 988
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8f9ec04d900cba2a2e93335548c511413a07c2ec81cdb8a6699d3923fe215e69
|
| 3 |
size 988
|
checkpoints/{checkpoint-50000 → checkpoint-61500}/scheduler.pt
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1064
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:006aa6abdcde538a5090b2a8f8114d416f5dd26532791f36d1980c632d584d30
|
| 3 |
size 1064
|
checkpoints/{checkpoint-50000 → checkpoint-61500}/special_tokens_map.json
RENAMED
|
File without changes
|
checkpoints/{checkpoint-50000 → checkpoint-61500}/spiece.model
RENAMED
|
File without changes
|
checkpoints/{checkpoint-50000 → checkpoint-61500}/tokenizer.json
RENAMED
|
File without changes
|
checkpoints/{checkpoint-50000 → checkpoint-61500}/tokenizer_config.json
RENAMED
|
File without changes
|
checkpoints/checkpoint-61500/trainer_state.json
ADDED
|
@@ -0,0 +1,895 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 1.9766021726553964,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 61500,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.016069936363052,
|
| 14 |
+
"grad_norm": 0.3969729542732239,
|
| 15 |
+
"learning_rate": 4.960146557819631e-05,
|
| 16 |
+
"loss": 2.05,
|
| 17 |
+
"step": 500
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.032139872726104,
|
| 21 |
+
"grad_norm": 0.3822907507419586,
|
| 22 |
+
"learning_rate": 4.919971716912001e-05,
|
| 23 |
+
"loss": 1.1207,
|
| 24 |
+
"step": 1000
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.04820980908915601,
|
| 28 |
+
"grad_norm": 0.36019280552864075,
|
| 29 |
+
"learning_rate": 4.879796876004371e-05,
|
| 30 |
+
"loss": 0.9225,
|
| 31 |
+
"step": 1500
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.064279745452208,
|
| 35 |
+
"grad_norm": 0.30364033579826355,
|
| 36 |
+
"learning_rate": 4.8396220350967415e-05,
|
| 37 |
+
"loss": 0.8244,
|
| 38 |
+
"step": 2000
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.08034968181526002,
|
| 42 |
+
"grad_norm": 0.45634394884109497,
|
| 43 |
+
"learning_rate": 4.799447194189111e-05,
|
| 44 |
+
"loss": 0.7506,
|
| 45 |
+
"step": 2500
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.09641961817831202,
|
| 49 |
+
"grad_norm": 0.3562425374984741,
|
| 50 |
+
"learning_rate": 4.759272353281481e-05,
|
| 51 |
+
"loss": 0.7012,
|
| 52 |
+
"step": 3000
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.11248955454136401,
|
| 56 |
+
"grad_norm": 0.33726808428764343,
|
| 57 |
+
"learning_rate": 4.719097512373851e-05,
|
| 58 |
+
"loss": 0.6706,
|
| 59 |
+
"step": 3500
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.128559490904416,
|
| 63 |
+
"grad_norm": 0.30098849534988403,
|
| 64 |
+
"learning_rate": 4.678922671466221e-05,
|
| 65 |
+
"loss": 0.6308,
|
| 66 |
+
"step": 4000
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.14462942726746802,
|
| 70 |
+
"grad_norm": 0.29443585872650146,
|
| 71 |
+
"learning_rate": 4.6387478305585915e-05,
|
| 72 |
+
"loss": 0.6141,
|
| 73 |
+
"step": 4500
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.16069936363052004,
|
| 77 |
+
"grad_norm": 0.25647810101509094,
|
| 78 |
+
"learning_rate": 4.598572989650961e-05,
|
| 79 |
+
"loss": 0.5866,
|
| 80 |
+
"step": 5000
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.17676929999357202,
|
| 84 |
+
"grad_norm": 0.2516370415687561,
|
| 85 |
+
"learning_rate": 4.558398148743331e-05,
|
| 86 |
+
"loss": 0.5665,
|
| 87 |
+
"step": 5500
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.19283923635662403,
|
| 91 |
+
"grad_norm": 0.3337278366088867,
|
| 92 |
+
"learning_rate": 4.518223307835701e-05,
|
| 93 |
+
"loss": 0.5427,
|
| 94 |
+
"step": 6000
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.20890917271967602,
|
| 98 |
+
"grad_norm": 0.2592964470386505,
|
| 99 |
+
"learning_rate": 4.478048466928072e-05,
|
| 100 |
+
"loss": 0.5323,
|
| 101 |
+
"step": 6500
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.22497910908272803,
|
| 105 |
+
"grad_norm": 0.28550606966018677,
|
| 106 |
+
"learning_rate": 4.437873626020441e-05,
|
| 107 |
+
"loss": 0.5187,
|
| 108 |
+
"step": 7000
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.24104904544578004,
|
| 112 |
+
"grad_norm": 0.26474013924598694,
|
| 113 |
+
"learning_rate": 4.397698785112811e-05,
|
| 114 |
+
"loss": 0.5058,
|
| 115 |
+
"step": 7500
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.257118981808832,
|
| 119 |
+
"grad_norm": 0.3018198013305664,
|
| 120 |
+
"learning_rate": 4.3575239442051814e-05,
|
| 121 |
+
"loss": 0.5013,
|
| 122 |
+
"step": 8000
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.27318891817188407,
|
| 126 |
+
"grad_norm": 0.2628585994243622,
|
| 127 |
+
"learning_rate": 4.317349103297551e-05,
|
| 128 |
+
"loss": 0.4883,
|
| 129 |
+
"step": 8500
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.28925885453493605,
|
| 133 |
+
"grad_norm": 0.30172979831695557,
|
| 134 |
+
"learning_rate": 4.277174262389921e-05,
|
| 135 |
+
"loss": 0.4795,
|
| 136 |
+
"step": 9000
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.30532879089798803,
|
| 140 |
+
"grad_norm": 0.25293004512786865,
|
| 141 |
+
"learning_rate": 4.236999421482291e-05,
|
| 142 |
+
"loss": 0.4682,
|
| 143 |
+
"step": 9500
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.3213987272610401,
|
| 147 |
+
"grad_norm": 0.2726214528083801,
|
| 148 |
+
"learning_rate": 4.196824580574661e-05,
|
| 149 |
+
"loss": 0.4641,
|
| 150 |
+
"step": 10000
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.33746866362409206,
|
| 154 |
+
"grad_norm": 0.2570224106311798,
|
| 155 |
+
"learning_rate": 4.1566497396670314e-05,
|
| 156 |
+
"loss": 0.4556,
|
| 157 |
+
"step": 10500
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.35353859998714404,
|
| 161 |
+
"grad_norm": 0.26380738615989685,
|
| 162 |
+
"learning_rate": 4.1164748987594006e-05,
|
| 163 |
+
"loss": 0.449,
|
| 164 |
+
"step": 11000
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.369608536350196,
|
| 168 |
+
"grad_norm": 0.2555176913738251,
|
| 169 |
+
"learning_rate": 4.076300057851771e-05,
|
| 170 |
+
"loss": 0.4412,
|
| 171 |
+
"step": 11500
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.38567847271324807,
|
| 175 |
+
"grad_norm": 0.2122594565153122,
|
| 176 |
+
"learning_rate": 4.036125216944141e-05,
|
| 177 |
+
"loss": 0.4365,
|
| 178 |
+
"step": 12000
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.40174840907630005,
|
| 182 |
+
"grad_norm": 0.2333071529865265,
|
| 183 |
+
"learning_rate": 3.9959503760365116e-05,
|
| 184 |
+
"loss": 0.433,
|
| 185 |
+
"step": 12500
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.41781834543935203,
|
| 189 |
+
"grad_norm": 0.24873752892017365,
|
| 190 |
+
"learning_rate": 3.955775535128881e-05,
|
| 191 |
+
"loss": 0.4283,
|
| 192 |
+
"step": 13000
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.4338882818024041,
|
| 196 |
+
"grad_norm": 0.32416871190071106,
|
| 197 |
+
"learning_rate": 3.915600694221251e-05,
|
| 198 |
+
"loss": 0.4218,
|
| 199 |
+
"step": 13500
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.44995821816545606,
|
| 203 |
+
"grad_norm": 0.23515433073043823,
|
| 204 |
+
"learning_rate": 3.875425853313621e-05,
|
| 205 |
+
"loss": 0.4139,
|
| 206 |
+
"step": 14000
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.46602815452850804,
|
| 210 |
+
"grad_norm": 0.22002151608467102,
|
| 211 |
+
"learning_rate": 3.8353313620878064e-05,
|
| 212 |
+
"loss": 0.417,
|
| 213 |
+
"step": 14500
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.4820980908915601,
|
| 217 |
+
"grad_norm": 0.251897931098938,
|
| 218 |
+
"learning_rate": 3.795156521180176e-05,
|
| 219 |
+
"loss": 0.4106,
|
| 220 |
+
"step": 15000
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.49816802725461207,
|
| 224 |
+
"grad_norm": 0.26212435960769653,
|
| 225 |
+
"learning_rate": 3.754981680272546e-05,
|
| 226 |
+
"loss": 0.4037,
|
| 227 |
+
"step": 15500
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.514237963617664,
|
| 231 |
+
"grad_norm": 0.2718159258365631,
|
| 232 |
+
"learning_rate": 3.714887189046731e-05,
|
| 233 |
+
"loss": 0.402,
|
| 234 |
+
"step": 16000
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.530307899980716,
|
| 238 |
+
"grad_norm": 0.23812739551067352,
|
| 239 |
+
"learning_rate": 3.674712348139102e-05,
|
| 240 |
+
"loss": 0.3953,
|
| 241 |
+
"step": 16500
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.5463778363437681,
|
| 245 |
+
"grad_norm": 0.21076083183288574,
|
| 246 |
+
"learning_rate": 3.634537507231471e-05,
|
| 247 |
+
"loss": 0.3938,
|
| 248 |
+
"step": 17000
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.5624477727068201,
|
| 252 |
+
"grad_norm": 0.25489869713783264,
|
| 253 |
+
"learning_rate": 3.5943626663238416e-05,
|
| 254 |
+
"loss": 0.3921,
|
| 255 |
+
"step": 17500
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.5785177090698721,
|
| 259 |
+
"grad_norm": 0.24057357013225555,
|
| 260 |
+
"learning_rate": 3.5541878254162115e-05,
|
| 261 |
+
"loss": 0.3867,
|
| 262 |
+
"step": 18000
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.5945876454329241,
|
| 266 |
+
"grad_norm": 0.24298915266990662,
|
| 267 |
+
"learning_rate": 3.514012984508582e-05,
|
| 268 |
+
"loss": 0.3868,
|
| 269 |
+
"step": 18500
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.6106575817959761,
|
| 273 |
+
"grad_norm": 0.2183919996023178,
|
| 274 |
+
"learning_rate": 3.473838143600951e-05,
|
| 275 |
+
"loss": 0.3803,
|
| 276 |
+
"step": 19000
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.626727518159028,
|
| 280 |
+
"grad_norm": 0.2278251349925995,
|
| 281 |
+
"learning_rate": 3.433663302693321e-05,
|
| 282 |
+
"loss": 0.3775,
|
| 283 |
+
"step": 19500
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.6427974545220801,
|
| 287 |
+
"grad_norm": 0.240201935172081,
|
| 288 |
+
"learning_rate": 3.393568811467507e-05,
|
| 289 |
+
"loss": 0.3751,
|
| 290 |
+
"step": 20000
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.6588673908851321,
|
| 294 |
+
"grad_norm": 0.21118561923503876,
|
| 295 |
+
"learning_rate": 3.353393970559877e-05,
|
| 296 |
+
"loss": 0.3742,
|
| 297 |
+
"step": 20500
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.6749373272481841,
|
| 301 |
+
"grad_norm": 0.22640825808048248,
|
| 302 |
+
"learning_rate": 3.313219129652247e-05,
|
| 303 |
+
"loss": 0.3729,
|
| 304 |
+
"step": 21000
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 0.6910072636112361,
|
| 308 |
+
"grad_norm": 0.23105542361736298,
|
| 309 |
+
"learning_rate": 3.2730442887446166e-05,
|
| 310 |
+
"loss": 0.3687,
|
| 311 |
+
"step": 21500
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 0.7070771999742881,
|
| 315 |
+
"grad_norm": 0.24791008234024048,
|
| 316 |
+
"learning_rate": 3.2329497975188024e-05,
|
| 317 |
+
"loss": 0.3658,
|
| 318 |
+
"step": 22000
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 0.7231471363373401,
|
| 322 |
+
"grad_norm": 0.2497881054878235,
|
| 323 |
+
"learning_rate": 3.1928553062929875e-05,
|
| 324 |
+
"loss": 0.3646,
|
| 325 |
+
"step": 22500
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.739217072700392,
|
| 329 |
+
"grad_norm": 0.2395261973142624,
|
| 330 |
+
"learning_rate": 3.152680465385357e-05,
|
| 331 |
+
"loss": 0.3655,
|
| 332 |
+
"step": 23000
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.7552870090634441,
|
| 336 |
+
"grad_norm": 0.21194589138031006,
|
| 337 |
+
"learning_rate": 3.112505624477727e-05,
|
| 338 |
+
"loss": 0.3646,
|
| 339 |
+
"step": 23500
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.7713569454264961,
|
| 343 |
+
"grad_norm": 0.21682508289813995,
|
| 344 |
+
"learning_rate": 3.072330783570097e-05,
|
| 345 |
+
"loss": 0.3629,
|
| 346 |
+
"step": 24000
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.7874268817895481,
|
| 350 |
+
"grad_norm": 0.23710566759109497,
|
| 351 |
+
"learning_rate": 3.0321559426624674e-05,
|
| 352 |
+
"loss": 0.3583,
|
| 353 |
+
"step": 24500
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.8034968181526001,
|
| 357 |
+
"grad_norm": 0.23857219517230988,
|
| 358 |
+
"learning_rate": 2.9919811017548372e-05,
|
| 359 |
+
"loss": 0.3561,
|
| 360 |
+
"step": 25000
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.8195667545156521,
|
| 364 |
+
"grad_norm": 0.241951584815979,
|
| 365 |
+
"learning_rate": 2.9518062608472075e-05,
|
| 366 |
+
"loss": 0.3537,
|
| 367 |
+
"step": 25500
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 0.8356366908787041,
|
| 371 |
+
"grad_norm": 0.275765061378479,
|
| 372 |
+
"learning_rate": 2.9116314199395773e-05,
|
| 373 |
+
"loss": 0.3493,
|
| 374 |
+
"step": 26000
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 0.8517066272417562,
|
| 378 |
+
"grad_norm": 0.24757184088230133,
|
| 379 |
+
"learning_rate": 2.871536928713762e-05,
|
| 380 |
+
"loss": 0.3486,
|
| 381 |
+
"step": 26500
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 0.8677765636048081,
|
| 385 |
+
"grad_norm": 0.21833688020706177,
|
| 386 |
+
"learning_rate": 2.8313620878061327e-05,
|
| 387 |
+
"loss": 0.3461,
|
| 388 |
+
"step": 27000
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 0.8838464999678601,
|
| 392 |
+
"grad_norm": 0.21623168885707855,
|
| 393 |
+
"learning_rate": 2.7911872468985022e-05,
|
| 394 |
+
"loss": 0.3468,
|
| 395 |
+
"step": 27500
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 0.8999164363309121,
|
| 399 |
+
"grad_norm": 0.20861521363258362,
|
| 400 |
+
"learning_rate": 2.7510124059908728e-05,
|
| 401 |
+
"loss": 0.3481,
|
| 402 |
+
"step": 28000
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.9159863726939641,
|
| 406 |
+
"grad_norm": 0.20291315019130707,
|
| 407 |
+
"learning_rate": 2.7108375650832423e-05,
|
| 408 |
+
"loss": 0.3474,
|
| 409 |
+
"step": 28500
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 0.9320563090570161,
|
| 413 |
+
"grad_norm": 0.2101660966873169,
|
| 414 |
+
"learning_rate": 2.6707430738574275e-05,
|
| 415 |
+
"loss": 0.3412,
|
| 416 |
+
"step": 29000
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.9481262454200682,
|
| 420 |
+
"grad_norm": 0.23224739730358124,
|
| 421 |
+
"learning_rate": 2.6305682329497977e-05,
|
| 422 |
+
"loss": 0.3422,
|
| 423 |
+
"step": 29500
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 0.9641961817831202,
|
| 427 |
+
"grad_norm": 0.22987599670886993,
|
| 428 |
+
"learning_rate": 2.5903933920421676e-05,
|
| 429 |
+
"loss": 0.3407,
|
| 430 |
+
"step": 30000
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 0.9802661181461721,
|
| 434 |
+
"grad_norm": 0.22307533025741577,
|
| 435 |
+
"learning_rate": 2.5502185511345378e-05,
|
| 436 |
+
"loss": 0.3365,
|
| 437 |
+
"step": 30500
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 0.9963360545092241,
|
| 441 |
+
"grad_norm": 0.20577801764011383,
|
| 442 |
+
"learning_rate": 2.510124059908723e-05,
|
| 443 |
+
"loss": 0.3409,
|
| 444 |
+
"step": 31000
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 1.0124059908722762,
|
| 448 |
+
"grad_norm": 0.23968417942523956,
|
| 449 |
+
"learning_rate": 2.4699492190010928e-05,
|
| 450 |
+
"loss": 0.339,
|
| 451 |
+
"step": 31500
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 1.028475927235328,
|
| 455 |
+
"grad_norm": 0.2166174054145813,
|
| 456 |
+
"learning_rate": 2.429774378093463e-05,
|
| 457 |
+
"loss": 0.3317,
|
| 458 |
+
"step": 32000
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 1.0445458635983802,
|
| 462 |
+
"grad_norm": 0.22259151935577393,
|
| 463 |
+
"learning_rate": 2.389599537185833e-05,
|
| 464 |
+
"loss": 0.3404,
|
| 465 |
+
"step": 32500
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 1.060615799961432,
|
| 469 |
+
"grad_norm": 0.2585219442844391,
|
| 470 |
+
"learning_rate": 2.3495050459600184e-05,
|
| 471 |
+
"loss": 0.3322,
|
| 472 |
+
"step": 33000
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 1.0766857363244842,
|
| 476 |
+
"grad_norm": 0.23949937522411346,
|
| 477 |
+
"learning_rate": 2.3093302050523882e-05,
|
| 478 |
+
"loss": 0.3332,
|
| 479 |
+
"step": 33500
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 1.0927556726875363,
|
| 483 |
+
"grad_norm": 0.2360944151878357,
|
| 484 |
+
"learning_rate": 2.269155364144758e-05,
|
| 485 |
+
"loss": 0.3374,
|
| 486 |
+
"step": 34000
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 1.1088256090505881,
|
| 490 |
+
"grad_norm": 0.23383018374443054,
|
| 491 |
+
"learning_rate": 2.228980523237128e-05,
|
| 492 |
+
"loss": 0.3287,
|
| 493 |
+
"step": 34500
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 1.1248955454136402,
|
| 497 |
+
"grad_norm": 0.25602060556411743,
|
| 498 |
+
"learning_rate": 2.1888860320113135e-05,
|
| 499 |
+
"loss": 0.3262,
|
| 500 |
+
"step": 35000
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 1.140965481776692,
|
| 504 |
+
"grad_norm": 0.2233658730983734,
|
| 505 |
+
"learning_rate": 2.1487111911036833e-05,
|
| 506 |
+
"loss": 0.3294,
|
| 507 |
+
"step": 35500
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 1.1570354181397442,
|
| 511 |
+
"grad_norm": 0.23545712232589722,
|
| 512 |
+
"learning_rate": 2.1085363501960532e-05,
|
| 513 |
+
"loss": 0.3263,
|
| 514 |
+
"step": 36000
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 1.173105354502796,
|
| 518 |
+
"grad_norm": 0.22479598224163055,
|
| 519 |
+
"learning_rate": 2.0683615092884234e-05,
|
| 520 |
+
"loss": 0.328,
|
| 521 |
+
"step": 36500
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 1.1891752908658482,
|
| 525 |
+
"grad_norm": 0.22207121551036835,
|
| 526 |
+
"learning_rate": 2.0282670180626086e-05,
|
| 527 |
+
"loss": 0.3275,
|
| 528 |
+
"step": 37000
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 1.2052452272289003,
|
| 532 |
+
"grad_norm": 0.23822110891342163,
|
| 533 |
+
"learning_rate": 1.9880921771549785e-05,
|
| 534 |
+
"loss": 0.3273,
|
| 535 |
+
"step": 37500
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 1.2213151635919521,
|
| 539 |
+
"grad_norm": 0.23664866387844086,
|
| 540 |
+
"learning_rate": 1.9479173362473487e-05,
|
| 541 |
+
"loss": 0.318,
|
| 542 |
+
"step": 38000
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 1.2373850999550042,
|
| 546 |
+
"grad_norm": 0.18543508648872375,
|
| 547 |
+
"learning_rate": 1.9077424953397185e-05,
|
| 548 |
+
"loss": 0.3235,
|
| 549 |
+
"step": 38500
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 1.253455036318056,
|
| 553 |
+
"grad_norm": 0.23305822908878326,
|
| 554 |
+
"learning_rate": 1.8676480041139037e-05,
|
| 555 |
+
"loss": 0.3243,
|
| 556 |
+
"step": 39000
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 1.2695249726811082,
|
| 560 |
+
"grad_norm": 0.21699073910713196,
|
| 561 |
+
"learning_rate": 1.827473163206274e-05,
|
| 562 |
+
"loss": 0.3222,
|
| 563 |
+
"step": 39500
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 1.28559490904416,
|
| 567 |
+
"grad_norm": 0.2757895588874817,
|
| 568 |
+
"learning_rate": 1.7872983222986438e-05,
|
| 569 |
+
"loss": 0.3248,
|
| 570 |
+
"step": 40000
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 1.3016648454072122,
|
| 574 |
+
"grad_norm": 0.19769324362277985,
|
| 575 |
+
"learning_rate": 1.7471234813910137e-05,
|
| 576 |
+
"loss": 0.3179,
|
| 577 |
+
"step": 40500
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 1.3177347817702643,
|
| 581 |
+
"grad_norm": 0.18964402377605438,
|
| 582 |
+
"learning_rate": 1.707028990165199e-05,
|
| 583 |
+
"loss": 0.3178,
|
| 584 |
+
"step": 41000
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 1.3338047181333161,
|
| 588 |
+
"grad_norm": 0.2584107220172882,
|
| 589 |
+
"learning_rate": 1.666854149257569e-05,
|
| 590 |
+
"loss": 0.318,
|
| 591 |
+
"step": 41500
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 1.3498746544963682,
|
| 595 |
+
"grad_norm": 0.25919750332832336,
|
| 596 |
+
"learning_rate": 1.626759658031754e-05,
|
| 597 |
+
"loss": 0.3205,
|
| 598 |
+
"step": 42000
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 1.3659445908594203,
|
| 602 |
+
"grad_norm": 0.24371759593486786,
|
| 603 |
+
"learning_rate": 1.5865848171241244e-05,
|
| 604 |
+
"loss": 0.3186,
|
| 605 |
+
"step": 42500
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 1.3820145272224722,
|
| 609 |
+
"grad_norm": 0.24457883834838867,
|
| 610 |
+
"learning_rate": 1.5464099762164942e-05,
|
| 611 |
+
"loss": 0.3162,
|
| 612 |
+
"step": 43000
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 1.398084463585524,
|
| 616 |
+
"grad_norm": 0.1918337345123291,
|
| 617 |
+
"learning_rate": 1.5062351353088641e-05,
|
| 618 |
+
"loss": 0.3169,
|
| 619 |
+
"step": 43500
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 1.4141543999485762,
|
| 623 |
+
"grad_norm": 0.2350657880306244,
|
| 624 |
+
"learning_rate": 1.4660602944012342e-05,
|
| 625 |
+
"loss": 0.3171,
|
| 626 |
+
"step": 44000
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 1.4302243363116283,
|
| 630 |
+
"grad_norm": 0.2481279820203781,
|
| 631 |
+
"learning_rate": 1.4258854534936042e-05,
|
| 632 |
+
"loss": 0.3179,
|
| 633 |
+
"step": 44500
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 1.4462942726746801,
|
| 637 |
+
"grad_norm": 0.21132701635360718,
|
| 638 |
+
"learning_rate": 1.3857106125859743e-05,
|
| 639 |
+
"loss": 0.3125,
|
| 640 |
+
"step": 45000
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 1.4623642090377322,
|
| 644 |
+
"grad_norm": 0.20240716636180878,
|
| 645 |
+
"learning_rate": 1.3455357716783443e-05,
|
| 646 |
+
"loss": 0.3172,
|
| 647 |
+
"step": 45500
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 1.4784341454007843,
|
| 651 |
+
"grad_norm": 0.2224823385477066,
|
| 652 |
+
"learning_rate": 1.3054412804525296e-05,
|
| 653 |
+
"loss": 0.3151,
|
| 654 |
+
"step": 46000
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 1.4945040817638362,
|
| 658 |
+
"grad_norm": 0.19261781871318817,
|
| 659 |
+
"learning_rate": 1.2652664395448997e-05,
|
| 660 |
+
"loss": 0.312,
|
| 661 |
+
"step": 46500
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 1.510574018126888,
|
| 665 |
+
"grad_norm": 0.16068917512893677,
|
| 666 |
+
"learning_rate": 1.2250915986372695e-05,
|
| 667 |
+
"loss": 0.3145,
|
| 668 |
+
"step": 47000
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 1.5266439544899402,
|
| 672 |
+
"grad_norm": 0.18192972242832184,
|
| 673 |
+
"learning_rate": 1.1849167577296394e-05,
|
| 674 |
+
"loss": 0.3134,
|
| 675 |
+
"step": 47500
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 1.5427138908529923,
|
| 679 |
+
"grad_norm": 0.19884943962097168,
|
| 680 |
+
"learning_rate": 1.1448222665038247e-05,
|
| 681 |
+
"loss": 0.3119,
|
| 682 |
+
"step": 48000
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 1.5587838272160441,
|
| 686 |
+
"grad_norm": 0.1883106529712677,
|
| 687 |
+
"learning_rate": 1.1046474255961948e-05,
|
| 688 |
+
"loss": 0.316,
|
| 689 |
+
"step": 48500
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 1.5748537635790962,
|
| 693 |
+
"grad_norm": 0.19331087172031403,
|
| 694 |
+
"learning_rate": 1.0644725846885646e-05,
|
| 695 |
+
"loss": 0.3135,
|
| 696 |
+
"step": 49000
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 1.5909236999421483,
|
| 700 |
+
"grad_norm": 0.20041531324386597,
|
| 701 |
+
"learning_rate": 1.0242977437809347e-05,
|
| 702 |
+
"loss": 0.3112,
|
| 703 |
+
"step": 49500
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 1.6069936363052002,
|
| 707 |
+
"grad_norm": 0.18530187010765076,
|
| 708 |
+
"learning_rate": 9.8420325255512e-06,
|
| 709 |
+
"loss": 0.3122,
|
| 710 |
+
"step": 50000
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 1.623063572668252,
|
| 714 |
+
"grad_norm": 0.22725620865821838,
|
| 715 |
+
"learning_rate": 9.4402841164749e-06,
|
| 716 |
+
"loss": 0.3122,
|
| 717 |
+
"step": 50500
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 1.6391335090313044,
|
| 721 |
+
"grad_norm": 0.23093479871749878,
|
| 722 |
+
"learning_rate": 9.0385357073986e-06,
|
| 723 |
+
"loss": 0.3149,
|
| 724 |
+
"step": 51000
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 1.6552034453943563,
|
| 728 |
+
"grad_norm": 0.19580845534801483,
|
| 729 |
+
"learning_rate": 8.6367872983223e-06,
|
| 730 |
+
"loss": 0.3121,
|
| 731 |
+
"step": 51500
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 1.6712733817574081,
|
| 735 |
+
"grad_norm": 0.1742846667766571,
|
| 736 |
+
"learning_rate": 8.235842386064153e-06,
|
| 737 |
+
"loss": 0.3094,
|
| 738 |
+
"step": 52000
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 1.6873433181204602,
|
| 742 |
+
"grad_norm": 0.18685191869735718,
|
| 743 |
+
"learning_rate": 7.834093976987852e-06,
|
| 744 |
+
"loss": 0.309,
|
| 745 |
+
"step": 52500
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 1.7034132544835123,
|
| 749 |
+
"grad_norm": 0.21959276497364044,
|
| 750 |
+
"learning_rate": 7.432345567911551e-06,
|
| 751 |
+
"loss": 0.3118,
|
| 752 |
+
"step": 53000
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 1.7194831908465642,
|
| 756 |
+
"grad_norm": 0.1935770958662033,
|
| 757 |
+
"learning_rate": 7.030597158835252e-06,
|
| 758 |
+
"loss": 0.3106,
|
| 759 |
+
"step": 53500
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 1.7355531272096163,
|
| 763 |
+
"grad_norm": 0.19977129995822906,
|
| 764 |
+
"learning_rate": 6.629652246577103e-06,
|
| 765 |
+
"loss": 0.3101,
|
| 766 |
+
"step": 54000
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 1.7516230635726684,
|
| 770 |
+
"grad_norm": 0.2006288766860962,
|
| 771 |
+
"learning_rate": 6.2279038375008035e-06,
|
| 772 |
+
"loss": 0.3099,
|
| 773 |
+
"step": 54500
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 1.7676929999357203,
|
| 777 |
+
"grad_norm": 0.19280743598937988,
|
| 778 |
+
"learning_rate": 5.826155428424504e-06,
|
| 779 |
+
"loss": 0.308,
|
| 780 |
+
"step": 55000
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 1.7837629362987721,
|
| 784 |
+
"grad_norm": 0.22095157206058502,
|
| 785 |
+
"learning_rate": 5.424407019348204e-06,
|
| 786 |
+
"loss": 0.3069,
|
| 787 |
+
"step": 55500
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 1.7998328726618242,
|
| 791 |
+
"grad_norm": 0.2091740071773529,
|
| 792 |
+
"learning_rate": 5.022658610271903e-06,
|
| 793 |
+
"loss": 0.3062,
|
| 794 |
+
"step": 56000
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 1.8159028090248763,
|
| 798 |
+
"grad_norm": 0.24772244691848755,
|
| 799 |
+
"learning_rate": 4.620910201195604e-06,
|
| 800 |
+
"loss": 0.3093,
|
| 801 |
+
"step": 56500
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 1.8319727453879282,
|
| 805 |
+
"grad_norm": 0.1973961740732193,
|
| 806 |
+
"learning_rate": 4.219161792119303e-06,
|
| 807 |
+
"loss": 0.309,
|
| 808 |
+
"step": 57000
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 1.8480426817509803,
|
| 812 |
+
"grad_norm": 0.22767914831638336,
|
| 813 |
+
"learning_rate": 3.817413383043003e-06,
|
| 814 |
+
"loss": 0.3109,
|
| 815 |
+
"step": 57500
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 1.8641126181140324,
|
| 819 |
+
"grad_norm": 0.21461111307144165,
|
| 820 |
+
"learning_rate": 3.416468470784856e-06,
|
| 821 |
+
"loss": 0.3075,
|
| 822 |
+
"step": 58000
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"epoch": 1.8801825544770843,
|
| 826 |
+
"grad_norm": 0.24607454240322113,
|
| 827 |
+
"learning_rate": 3.0147200617085557e-06,
|
| 828 |
+
"loss": 0.3058,
|
| 829 |
+
"step": 58500
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"epoch": 1.8962524908401361,
|
| 833 |
+
"grad_norm": 0.19667118787765503,
|
| 834 |
+
"learning_rate": 2.6129716526322558e-06,
|
| 835 |
+
"loss": 0.3072,
|
| 836 |
+
"step": 59000
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 1.9123224272031882,
|
| 840 |
+
"grad_norm": 0.22604137659072876,
|
| 841 |
+
"learning_rate": 2.211223243555956e-06,
|
| 842 |
+
"loss": 0.3064,
|
| 843 |
+
"step": 59500
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 1.9283923635662403,
|
| 847 |
+
"grad_norm": 0.1879967898130417,
|
| 848 |
+
"learning_rate": 1.8102783312978082e-06,
|
| 849 |
+
"loss": 0.3063,
|
| 850 |
+
"step": 60000
|
| 851 |
+
},
|
| 852 |
+
{
|
| 853 |
+
"epoch": 1.9444622999292922,
|
| 854 |
+
"grad_norm": 0.21271295845508575,
|
| 855 |
+
"learning_rate": 1.408529922221508e-06,
|
| 856 |
+
"loss": 0.3076,
|
| 857 |
+
"step": 60500
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 1.9605322362923443,
|
| 861 |
+
"grad_norm": 0.16714586317539215,
|
| 862 |
+
"learning_rate": 1.006781513145208e-06,
|
| 863 |
+
"loss": 0.3092,
|
| 864 |
+
"step": 61000
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 1.9766021726553964,
|
| 868 |
+
"grad_norm": 0.20666128396987915,
|
| 869 |
+
"learning_rate": 6.050331040689079e-07,
|
| 870 |
+
"loss": 0.3076,
|
| 871 |
+
"step": 61500
|
| 872 |
+
}
|
| 873 |
+
],
|
| 874 |
+
"logging_steps": 500,
|
| 875 |
+
"max_steps": 62228,
|
| 876 |
+
"num_input_tokens_seen": 0,
|
| 877 |
+
"num_train_epochs": 2,
|
| 878 |
+
"save_steps": 500,
|
| 879 |
+
"stateful_callbacks": {
|
| 880 |
+
"TrainerControl": {
|
| 881 |
+
"args": {
|
| 882 |
+
"should_epoch_stop": false,
|
| 883 |
+
"should_evaluate": false,
|
| 884 |
+
"should_log": false,
|
| 885 |
+
"should_save": true,
|
| 886 |
+
"should_training_stop": false
|
| 887 |
+
},
|
| 888 |
+
"attributes": {}
|
| 889 |
+
}
|
| 890 |
+
},
|
| 891 |
+
"total_flos": 1.3317619730664653e+17,
|
| 892 |
+
"train_batch_size": 32,
|
| 893 |
+
"trial_name": null,
|
| 894 |
+
"trial_params": null
|
| 895 |
+
}
|
checkpoints/{checkpoint-50000 → checkpoint-61500}/training_args.bin
RENAMED
|
File without changes
|
checkpoints/{checkpoint-50500 → checkpoint-62000}/config.json
RENAMED
|
File without changes
|
checkpoints/{checkpoint-50500 → checkpoint-62000}/generation_config.json
RENAMED
|
File without changes
|
checkpoints/{checkpoint-50500 → checkpoint-62000}/model.safetensors
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 242041896
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:21d2693f103a4b1c9756dd65ffa057b16bedd52438d1857e7abe6cc6bbbdc118
|
| 3 |
size 242041896
|
checkpoints/{checkpoint-50000 → checkpoint-62000}/optimizer.pt
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 484163514
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d67c69f9573de5a8dadf16db4aeb6d985098267281696ebb224c45bc379b1125
|
| 3 |
size 484163514
|
checkpoints/{checkpoint-50500 → checkpoint-62000}/rng_state.pth
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14244
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:19b09152c000e511e6ddafcdda96b8df75e3964a1a6d6a59502f1c6b09d5600b
|
| 3 |
size 14244
|
checkpoints/{checkpoint-50500 → checkpoint-62000}/scaler.pt
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 988
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:654ff04f86d41e38c4c564123d36adbd0e83e01bd73996a4587ead262cae63cb
|
| 3 |
size 988
|
checkpoints/{checkpoint-50606 → checkpoint-62000}/scheduler.pt
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1064
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7785e8be4cba2ff2308ebbf74c247c1df9ee9867422dbbc081226579438090ce
|
| 3 |
size 1064
|
checkpoints/{checkpoint-50500 → checkpoint-62000}/special_tokens_map.json
RENAMED
|
File without changes
|
checkpoints/{checkpoint-50500 → checkpoint-62000}/spiece.model
RENAMED
|
File without changes
|
checkpoints/{checkpoint-50500 → checkpoint-62000}/tokenizer.json
RENAMED
|
File without changes
|
checkpoints/{checkpoint-50500 → checkpoint-62000}/tokenizer_config.json
RENAMED
|
File without changes
|
checkpoints/checkpoint-62000/trainer_state.json
ADDED
|
@@ -0,0 +1,902 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 1.9926721090184483,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 62000,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.016069936363052,
|
| 14 |
+
"grad_norm": 0.3969729542732239,
|
| 15 |
+
"learning_rate": 4.960146557819631e-05,
|
| 16 |
+
"loss": 2.05,
|
| 17 |
+
"step": 500
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.032139872726104,
|
| 21 |
+
"grad_norm": 0.3822907507419586,
|
| 22 |
+
"learning_rate": 4.919971716912001e-05,
|
| 23 |
+
"loss": 1.1207,
|
| 24 |
+
"step": 1000
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.04820980908915601,
|
| 28 |
+
"grad_norm": 0.36019280552864075,
|
| 29 |
+
"learning_rate": 4.879796876004371e-05,
|
| 30 |
+
"loss": 0.9225,
|
| 31 |
+
"step": 1500
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.064279745452208,
|
| 35 |
+
"grad_norm": 0.30364033579826355,
|
| 36 |
+
"learning_rate": 4.8396220350967415e-05,
|
| 37 |
+
"loss": 0.8244,
|
| 38 |
+
"step": 2000
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.08034968181526002,
|
| 42 |
+
"grad_norm": 0.45634394884109497,
|
| 43 |
+
"learning_rate": 4.799447194189111e-05,
|
| 44 |
+
"loss": 0.7506,
|
| 45 |
+
"step": 2500
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.09641961817831202,
|
| 49 |
+
"grad_norm": 0.3562425374984741,
|
| 50 |
+
"learning_rate": 4.759272353281481e-05,
|
| 51 |
+
"loss": 0.7012,
|
| 52 |
+
"step": 3000
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.11248955454136401,
|
| 56 |
+
"grad_norm": 0.33726808428764343,
|
| 57 |
+
"learning_rate": 4.719097512373851e-05,
|
| 58 |
+
"loss": 0.6706,
|
| 59 |
+
"step": 3500
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.128559490904416,
|
| 63 |
+
"grad_norm": 0.30098849534988403,
|
| 64 |
+
"learning_rate": 4.678922671466221e-05,
|
| 65 |
+
"loss": 0.6308,
|
| 66 |
+
"step": 4000
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.14462942726746802,
|
| 70 |
+
"grad_norm": 0.29443585872650146,
|
| 71 |
+
"learning_rate": 4.6387478305585915e-05,
|
| 72 |
+
"loss": 0.6141,
|
| 73 |
+
"step": 4500
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.16069936363052004,
|
| 77 |
+
"grad_norm": 0.25647810101509094,
|
| 78 |
+
"learning_rate": 4.598572989650961e-05,
|
| 79 |
+
"loss": 0.5866,
|
| 80 |
+
"step": 5000
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.17676929999357202,
|
| 84 |
+
"grad_norm": 0.2516370415687561,
|
| 85 |
+
"learning_rate": 4.558398148743331e-05,
|
| 86 |
+
"loss": 0.5665,
|
| 87 |
+
"step": 5500
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.19283923635662403,
|
| 91 |
+
"grad_norm": 0.3337278366088867,
|
| 92 |
+
"learning_rate": 4.518223307835701e-05,
|
| 93 |
+
"loss": 0.5427,
|
| 94 |
+
"step": 6000
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.20890917271967602,
|
| 98 |
+
"grad_norm": 0.2592964470386505,
|
| 99 |
+
"learning_rate": 4.478048466928072e-05,
|
| 100 |
+
"loss": 0.5323,
|
| 101 |
+
"step": 6500
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.22497910908272803,
|
| 105 |
+
"grad_norm": 0.28550606966018677,
|
| 106 |
+
"learning_rate": 4.437873626020441e-05,
|
| 107 |
+
"loss": 0.5187,
|
| 108 |
+
"step": 7000
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.24104904544578004,
|
| 112 |
+
"grad_norm": 0.26474013924598694,
|
| 113 |
+
"learning_rate": 4.397698785112811e-05,
|
| 114 |
+
"loss": 0.5058,
|
| 115 |
+
"step": 7500
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.257118981808832,
|
| 119 |
+
"grad_norm": 0.3018198013305664,
|
| 120 |
+
"learning_rate": 4.3575239442051814e-05,
|
| 121 |
+
"loss": 0.5013,
|
| 122 |
+
"step": 8000
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.27318891817188407,
|
| 126 |
+
"grad_norm": 0.2628585994243622,
|
| 127 |
+
"learning_rate": 4.317349103297551e-05,
|
| 128 |
+
"loss": 0.4883,
|
| 129 |
+
"step": 8500
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.28925885453493605,
|
| 133 |
+
"grad_norm": 0.30172979831695557,
|
| 134 |
+
"learning_rate": 4.277174262389921e-05,
|
| 135 |
+
"loss": 0.4795,
|
| 136 |
+
"step": 9000
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.30532879089798803,
|
| 140 |
+
"grad_norm": 0.25293004512786865,
|
| 141 |
+
"learning_rate": 4.236999421482291e-05,
|
| 142 |
+
"loss": 0.4682,
|
| 143 |
+
"step": 9500
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.3213987272610401,
|
| 147 |
+
"grad_norm": 0.2726214528083801,
|
| 148 |
+
"learning_rate": 4.196824580574661e-05,
|
| 149 |
+
"loss": 0.4641,
|
| 150 |
+
"step": 10000
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.33746866362409206,
|
| 154 |
+
"grad_norm": 0.2570224106311798,
|
| 155 |
+
"learning_rate": 4.1566497396670314e-05,
|
| 156 |
+
"loss": 0.4556,
|
| 157 |
+
"step": 10500
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.35353859998714404,
|
| 161 |
+
"grad_norm": 0.26380738615989685,
|
| 162 |
+
"learning_rate": 4.1164748987594006e-05,
|
| 163 |
+
"loss": 0.449,
|
| 164 |
+
"step": 11000
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.369608536350196,
|
| 168 |
+
"grad_norm": 0.2555176913738251,
|
| 169 |
+
"learning_rate": 4.076300057851771e-05,
|
| 170 |
+
"loss": 0.4412,
|
| 171 |
+
"step": 11500
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.38567847271324807,
|
| 175 |
+
"grad_norm": 0.2122594565153122,
|
| 176 |
+
"learning_rate": 4.036125216944141e-05,
|
| 177 |
+
"loss": 0.4365,
|
| 178 |
+
"step": 12000
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.40174840907630005,
|
| 182 |
+
"grad_norm": 0.2333071529865265,
|
| 183 |
+
"learning_rate": 3.9959503760365116e-05,
|
| 184 |
+
"loss": 0.433,
|
| 185 |
+
"step": 12500
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.41781834543935203,
|
| 189 |
+
"grad_norm": 0.24873752892017365,
|
| 190 |
+
"learning_rate": 3.955775535128881e-05,
|
| 191 |
+
"loss": 0.4283,
|
| 192 |
+
"step": 13000
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.4338882818024041,
|
| 196 |
+
"grad_norm": 0.32416871190071106,
|
| 197 |
+
"learning_rate": 3.915600694221251e-05,
|
| 198 |
+
"loss": 0.4218,
|
| 199 |
+
"step": 13500
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.44995821816545606,
|
| 203 |
+
"grad_norm": 0.23515433073043823,
|
| 204 |
+
"learning_rate": 3.875425853313621e-05,
|
| 205 |
+
"loss": 0.4139,
|
| 206 |
+
"step": 14000
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.46602815452850804,
|
| 210 |
+
"grad_norm": 0.22002151608467102,
|
| 211 |
+
"learning_rate": 3.8353313620878064e-05,
|
| 212 |
+
"loss": 0.417,
|
| 213 |
+
"step": 14500
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.4820980908915601,
|
| 217 |
+
"grad_norm": 0.251897931098938,
|
| 218 |
+
"learning_rate": 3.795156521180176e-05,
|
| 219 |
+
"loss": 0.4106,
|
| 220 |
+
"step": 15000
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.49816802725461207,
|
| 224 |
+
"grad_norm": 0.26212435960769653,
|
| 225 |
+
"learning_rate": 3.754981680272546e-05,
|
| 226 |
+
"loss": 0.4037,
|
| 227 |
+
"step": 15500
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.514237963617664,
|
| 231 |
+
"grad_norm": 0.2718159258365631,
|
| 232 |
+
"learning_rate": 3.714887189046731e-05,
|
| 233 |
+
"loss": 0.402,
|
| 234 |
+
"step": 16000
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.530307899980716,
|
| 238 |
+
"grad_norm": 0.23812739551067352,
|
| 239 |
+
"learning_rate": 3.674712348139102e-05,
|
| 240 |
+
"loss": 0.3953,
|
| 241 |
+
"step": 16500
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.5463778363437681,
|
| 245 |
+
"grad_norm": 0.21076083183288574,
|
| 246 |
+
"learning_rate": 3.634537507231471e-05,
|
| 247 |
+
"loss": 0.3938,
|
| 248 |
+
"step": 17000
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.5624477727068201,
|
| 252 |
+
"grad_norm": 0.25489869713783264,
|
| 253 |
+
"learning_rate": 3.5943626663238416e-05,
|
| 254 |
+
"loss": 0.3921,
|
| 255 |
+
"step": 17500
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.5785177090698721,
|
| 259 |
+
"grad_norm": 0.24057357013225555,
|
| 260 |
+
"learning_rate": 3.5541878254162115e-05,
|
| 261 |
+
"loss": 0.3867,
|
| 262 |
+
"step": 18000
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.5945876454329241,
|
| 266 |
+
"grad_norm": 0.24298915266990662,
|
| 267 |
+
"learning_rate": 3.514012984508582e-05,
|
| 268 |
+
"loss": 0.3868,
|
| 269 |
+
"step": 18500
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.6106575817959761,
|
| 273 |
+
"grad_norm": 0.2183919996023178,
|
| 274 |
+
"learning_rate": 3.473838143600951e-05,
|
| 275 |
+
"loss": 0.3803,
|
| 276 |
+
"step": 19000
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.626727518159028,
|
| 280 |
+
"grad_norm": 0.2278251349925995,
|
| 281 |
+
"learning_rate": 3.433663302693321e-05,
|
| 282 |
+
"loss": 0.3775,
|
| 283 |
+
"step": 19500
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.6427974545220801,
|
| 287 |
+
"grad_norm": 0.240201935172081,
|
| 288 |
+
"learning_rate": 3.393568811467507e-05,
|
| 289 |
+
"loss": 0.3751,
|
| 290 |
+
"step": 20000
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.6588673908851321,
|
| 294 |
+
"grad_norm": 0.21118561923503876,
|
| 295 |
+
"learning_rate": 3.353393970559877e-05,
|
| 296 |
+
"loss": 0.3742,
|
| 297 |
+
"step": 20500
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.6749373272481841,
|
| 301 |
+
"grad_norm": 0.22640825808048248,
|
| 302 |
+
"learning_rate": 3.313219129652247e-05,
|
| 303 |
+
"loss": 0.3729,
|
| 304 |
+
"step": 21000
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 0.6910072636112361,
|
| 308 |
+
"grad_norm": 0.23105542361736298,
|
| 309 |
+
"learning_rate": 3.2730442887446166e-05,
|
| 310 |
+
"loss": 0.3687,
|
| 311 |
+
"step": 21500
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 0.7070771999742881,
|
| 315 |
+
"grad_norm": 0.24791008234024048,
|
| 316 |
+
"learning_rate": 3.2329497975188024e-05,
|
| 317 |
+
"loss": 0.3658,
|
| 318 |
+
"step": 22000
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 0.7231471363373401,
|
| 322 |
+
"grad_norm": 0.2497881054878235,
|
| 323 |
+
"learning_rate": 3.1928553062929875e-05,
|
| 324 |
+
"loss": 0.3646,
|
| 325 |
+
"step": 22500
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.739217072700392,
|
| 329 |
+
"grad_norm": 0.2395261973142624,
|
| 330 |
+
"learning_rate": 3.152680465385357e-05,
|
| 331 |
+
"loss": 0.3655,
|
| 332 |
+
"step": 23000
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.7552870090634441,
|
| 336 |
+
"grad_norm": 0.21194589138031006,
|
| 337 |
+
"learning_rate": 3.112505624477727e-05,
|
| 338 |
+
"loss": 0.3646,
|
| 339 |
+
"step": 23500
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.7713569454264961,
|
| 343 |
+
"grad_norm": 0.21682508289813995,
|
| 344 |
+
"learning_rate": 3.072330783570097e-05,
|
| 345 |
+
"loss": 0.3629,
|
| 346 |
+
"step": 24000
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.7874268817895481,
|
| 350 |
+
"grad_norm": 0.23710566759109497,
|
| 351 |
+
"learning_rate": 3.0321559426624674e-05,
|
| 352 |
+
"loss": 0.3583,
|
| 353 |
+
"step": 24500
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.8034968181526001,
|
| 357 |
+
"grad_norm": 0.23857219517230988,
|
| 358 |
+
"learning_rate": 2.9919811017548372e-05,
|
| 359 |
+
"loss": 0.3561,
|
| 360 |
+
"step": 25000
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.8195667545156521,
|
| 364 |
+
"grad_norm": 0.241951584815979,
|
| 365 |
+
"learning_rate": 2.9518062608472075e-05,
|
| 366 |
+
"loss": 0.3537,
|
| 367 |
+
"step": 25500
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 0.8356366908787041,
|
| 371 |
+
"grad_norm": 0.275765061378479,
|
| 372 |
+
"learning_rate": 2.9116314199395773e-05,
|
| 373 |
+
"loss": 0.3493,
|
| 374 |
+
"step": 26000
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 0.8517066272417562,
|
| 378 |
+
"grad_norm": 0.24757184088230133,
|
| 379 |
+
"learning_rate": 2.871536928713762e-05,
|
| 380 |
+
"loss": 0.3486,
|
| 381 |
+
"step": 26500
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 0.8677765636048081,
|
| 385 |
+
"grad_norm": 0.21833688020706177,
|
| 386 |
+
"learning_rate": 2.8313620878061327e-05,
|
| 387 |
+
"loss": 0.3461,
|
| 388 |
+
"step": 27000
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 0.8838464999678601,
|
| 392 |
+
"grad_norm": 0.21623168885707855,
|
| 393 |
+
"learning_rate": 2.7911872468985022e-05,
|
| 394 |
+
"loss": 0.3468,
|
| 395 |
+
"step": 27500
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 0.8999164363309121,
|
| 399 |
+
"grad_norm": 0.20861521363258362,
|
| 400 |
+
"learning_rate": 2.7510124059908728e-05,
|
| 401 |
+
"loss": 0.3481,
|
| 402 |
+
"step": 28000
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.9159863726939641,
|
| 406 |
+
"grad_norm": 0.20291315019130707,
|
| 407 |
+
"learning_rate": 2.7108375650832423e-05,
|
| 408 |
+
"loss": 0.3474,
|
| 409 |
+
"step": 28500
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 0.9320563090570161,
|
| 413 |
+
"grad_norm": 0.2101660966873169,
|
| 414 |
+
"learning_rate": 2.6707430738574275e-05,
|
| 415 |
+
"loss": 0.3412,
|
| 416 |
+
"step": 29000
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.9481262454200682,
|
| 420 |
+
"grad_norm": 0.23224739730358124,
|
| 421 |
+
"learning_rate": 2.6305682329497977e-05,
|
| 422 |
+
"loss": 0.3422,
|
| 423 |
+
"step": 29500
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 0.9641961817831202,
|
| 427 |
+
"grad_norm": 0.22987599670886993,
|
| 428 |
+
"learning_rate": 2.5903933920421676e-05,
|
| 429 |
+
"loss": 0.3407,
|
| 430 |
+
"step": 30000
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 0.9802661181461721,
|
| 434 |
+
"grad_norm": 0.22307533025741577,
|
| 435 |
+
"learning_rate": 2.5502185511345378e-05,
|
| 436 |
+
"loss": 0.3365,
|
| 437 |
+
"step": 30500
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 0.9963360545092241,
|
| 441 |
+
"grad_norm": 0.20577801764011383,
|
| 442 |
+
"learning_rate": 2.510124059908723e-05,
|
| 443 |
+
"loss": 0.3409,
|
| 444 |
+
"step": 31000
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 1.0124059908722762,
|
| 448 |
+
"grad_norm": 0.23968417942523956,
|
| 449 |
+
"learning_rate": 2.4699492190010928e-05,
|
| 450 |
+
"loss": 0.339,
|
| 451 |
+
"step": 31500
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 1.028475927235328,
|
| 455 |
+
"grad_norm": 0.2166174054145813,
|
| 456 |
+
"learning_rate": 2.429774378093463e-05,
|
| 457 |
+
"loss": 0.3317,
|
| 458 |
+
"step": 32000
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 1.0445458635983802,
|
| 462 |
+
"grad_norm": 0.22259151935577393,
|
| 463 |
+
"learning_rate": 2.389599537185833e-05,
|
| 464 |
+
"loss": 0.3404,
|
| 465 |
+
"step": 32500
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 1.060615799961432,
|
| 469 |
+
"grad_norm": 0.2585219442844391,
|
| 470 |
+
"learning_rate": 2.3495050459600184e-05,
|
| 471 |
+
"loss": 0.3322,
|
| 472 |
+
"step": 33000
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 1.0766857363244842,
|
| 476 |
+
"grad_norm": 0.23949937522411346,
|
| 477 |
+
"learning_rate": 2.3093302050523882e-05,
|
| 478 |
+
"loss": 0.3332,
|
| 479 |
+
"step": 33500
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 1.0927556726875363,
|
| 483 |
+
"grad_norm": 0.2360944151878357,
|
| 484 |
+
"learning_rate": 2.269155364144758e-05,
|
| 485 |
+
"loss": 0.3374,
|
| 486 |
+
"step": 34000
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 1.1088256090505881,
|
| 490 |
+
"grad_norm": 0.23383018374443054,
|
| 491 |
+
"learning_rate": 2.228980523237128e-05,
|
| 492 |
+
"loss": 0.3287,
|
| 493 |
+
"step": 34500
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 1.1248955454136402,
|
| 497 |
+
"grad_norm": 0.25602060556411743,
|
| 498 |
+
"learning_rate": 2.1888860320113135e-05,
|
| 499 |
+
"loss": 0.3262,
|
| 500 |
+
"step": 35000
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 1.140965481776692,
|
| 504 |
+
"grad_norm": 0.2233658730983734,
|
| 505 |
+
"learning_rate": 2.1487111911036833e-05,
|
| 506 |
+
"loss": 0.3294,
|
| 507 |
+
"step": 35500
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 1.1570354181397442,
|
| 511 |
+
"grad_norm": 0.23545712232589722,
|
| 512 |
+
"learning_rate": 2.1085363501960532e-05,
|
| 513 |
+
"loss": 0.3263,
|
| 514 |
+
"step": 36000
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 1.173105354502796,
|
| 518 |
+
"grad_norm": 0.22479598224163055,
|
| 519 |
+
"learning_rate": 2.0683615092884234e-05,
|
| 520 |
+
"loss": 0.328,
|
| 521 |
+
"step": 36500
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 1.1891752908658482,
|
| 525 |
+
"grad_norm": 0.22207121551036835,
|
| 526 |
+
"learning_rate": 2.0282670180626086e-05,
|
| 527 |
+
"loss": 0.3275,
|
| 528 |
+
"step": 37000
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 1.2052452272289003,
|
| 532 |
+
"grad_norm": 0.23822110891342163,
|
| 533 |
+
"learning_rate": 1.9880921771549785e-05,
|
| 534 |
+
"loss": 0.3273,
|
| 535 |
+
"step": 37500
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 1.2213151635919521,
|
| 539 |
+
"grad_norm": 0.23664866387844086,
|
| 540 |
+
"learning_rate": 1.9479173362473487e-05,
|
| 541 |
+
"loss": 0.318,
|
| 542 |
+
"step": 38000
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 1.2373850999550042,
|
| 546 |
+
"grad_norm": 0.18543508648872375,
|
| 547 |
+
"learning_rate": 1.9077424953397185e-05,
|
| 548 |
+
"loss": 0.3235,
|
| 549 |
+
"step": 38500
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 1.253455036318056,
|
| 553 |
+
"grad_norm": 0.23305822908878326,
|
| 554 |
+
"learning_rate": 1.8676480041139037e-05,
|
| 555 |
+
"loss": 0.3243,
|
| 556 |
+
"step": 39000
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 1.2695249726811082,
|
| 560 |
+
"grad_norm": 0.21699073910713196,
|
| 561 |
+
"learning_rate": 1.827473163206274e-05,
|
| 562 |
+
"loss": 0.3222,
|
| 563 |
+
"step": 39500
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 1.28559490904416,
|
| 567 |
+
"grad_norm": 0.2757895588874817,
|
| 568 |
+
"learning_rate": 1.7872983222986438e-05,
|
| 569 |
+
"loss": 0.3248,
|
| 570 |
+
"step": 40000
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 1.3016648454072122,
|
| 574 |
+
"grad_norm": 0.19769324362277985,
|
| 575 |
+
"learning_rate": 1.7471234813910137e-05,
|
| 576 |
+
"loss": 0.3179,
|
| 577 |
+
"step": 40500
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 1.3177347817702643,
|
| 581 |
+
"grad_norm": 0.18964402377605438,
|
| 582 |
+
"learning_rate": 1.707028990165199e-05,
|
| 583 |
+
"loss": 0.3178,
|
| 584 |
+
"step": 41000
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 1.3338047181333161,
|
| 588 |
+
"grad_norm": 0.2584107220172882,
|
| 589 |
+
"learning_rate": 1.666854149257569e-05,
|
| 590 |
+
"loss": 0.318,
|
| 591 |
+
"step": 41500
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 1.3498746544963682,
|
| 595 |
+
"grad_norm": 0.25919750332832336,
|
| 596 |
+
"learning_rate": 1.626759658031754e-05,
|
| 597 |
+
"loss": 0.3205,
|
| 598 |
+
"step": 42000
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 1.3659445908594203,
|
| 602 |
+
"grad_norm": 0.24371759593486786,
|
| 603 |
+
"learning_rate": 1.5865848171241244e-05,
|
| 604 |
+
"loss": 0.3186,
|
| 605 |
+
"step": 42500
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 1.3820145272224722,
|
| 609 |
+
"grad_norm": 0.24457883834838867,
|
| 610 |
+
"learning_rate": 1.5464099762164942e-05,
|
| 611 |
+
"loss": 0.3162,
|
| 612 |
+
"step": 43000
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 1.398084463585524,
|
| 616 |
+
"grad_norm": 0.1918337345123291,
|
| 617 |
+
"learning_rate": 1.5062351353088641e-05,
|
| 618 |
+
"loss": 0.3169,
|
| 619 |
+
"step": 43500
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 1.4141543999485762,
|
| 623 |
+
"grad_norm": 0.2350657880306244,
|
| 624 |
+
"learning_rate": 1.4660602944012342e-05,
|
| 625 |
+
"loss": 0.3171,
|
| 626 |
+
"step": 44000
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 1.4302243363116283,
|
| 630 |
+
"grad_norm": 0.2481279820203781,
|
| 631 |
+
"learning_rate": 1.4258854534936042e-05,
|
| 632 |
+
"loss": 0.3179,
|
| 633 |
+
"step": 44500
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 1.4462942726746801,
|
| 637 |
+
"grad_norm": 0.21132701635360718,
|
| 638 |
+
"learning_rate": 1.3857106125859743e-05,
|
| 639 |
+
"loss": 0.3125,
|
| 640 |
+
"step": 45000
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 1.4623642090377322,
|
| 644 |
+
"grad_norm": 0.20240716636180878,
|
| 645 |
+
"learning_rate": 1.3455357716783443e-05,
|
| 646 |
+
"loss": 0.3172,
|
| 647 |
+
"step": 45500
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 1.4784341454007843,
|
| 651 |
+
"grad_norm": 0.2224823385477066,
|
| 652 |
+
"learning_rate": 1.3054412804525296e-05,
|
| 653 |
+
"loss": 0.3151,
|
| 654 |
+
"step": 46000
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 1.4945040817638362,
|
| 658 |
+
"grad_norm": 0.19261781871318817,
|
| 659 |
+
"learning_rate": 1.2652664395448997e-05,
|
| 660 |
+
"loss": 0.312,
|
| 661 |
+
"step": 46500
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 1.510574018126888,
|
| 665 |
+
"grad_norm": 0.16068917512893677,
|
| 666 |
+
"learning_rate": 1.2250915986372695e-05,
|
| 667 |
+
"loss": 0.3145,
|
| 668 |
+
"step": 47000
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 1.5266439544899402,
|
| 672 |
+
"grad_norm": 0.18192972242832184,
|
| 673 |
+
"learning_rate": 1.1849167577296394e-05,
|
| 674 |
+
"loss": 0.3134,
|
| 675 |
+
"step": 47500
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 1.5427138908529923,
|
| 679 |
+
"grad_norm": 0.19884943962097168,
|
| 680 |
+
"learning_rate": 1.1448222665038247e-05,
|
| 681 |
+
"loss": 0.3119,
|
| 682 |
+
"step": 48000
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 1.5587838272160441,
|
| 686 |
+
"grad_norm": 0.1883106529712677,
|
| 687 |
+
"learning_rate": 1.1046474255961948e-05,
|
| 688 |
+
"loss": 0.316,
|
| 689 |
+
"step": 48500
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 1.5748537635790962,
|
| 693 |
+
"grad_norm": 0.19331087172031403,
|
| 694 |
+
"learning_rate": 1.0644725846885646e-05,
|
| 695 |
+
"loss": 0.3135,
|
| 696 |
+
"step": 49000
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 1.5909236999421483,
|
| 700 |
+
"grad_norm": 0.20041531324386597,
|
| 701 |
+
"learning_rate": 1.0242977437809347e-05,
|
| 702 |
+
"loss": 0.3112,
|
| 703 |
+
"step": 49500
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 1.6069936363052002,
|
| 707 |
+
"grad_norm": 0.18530187010765076,
|
| 708 |
+
"learning_rate": 9.8420325255512e-06,
|
| 709 |
+
"loss": 0.3122,
|
| 710 |
+
"step": 50000
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 1.623063572668252,
|
| 714 |
+
"grad_norm": 0.22725620865821838,
|
| 715 |
+
"learning_rate": 9.4402841164749e-06,
|
| 716 |
+
"loss": 0.3122,
|
| 717 |
+
"step": 50500
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 1.6391335090313044,
|
| 721 |
+
"grad_norm": 0.23093479871749878,
|
| 722 |
+
"learning_rate": 9.0385357073986e-06,
|
| 723 |
+
"loss": 0.3149,
|
| 724 |
+
"step": 51000
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 1.6552034453943563,
|
| 728 |
+
"grad_norm": 0.19580845534801483,
|
| 729 |
+
"learning_rate": 8.6367872983223e-06,
|
| 730 |
+
"loss": 0.3121,
|
| 731 |
+
"step": 51500
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 1.6712733817574081,
|
| 735 |
+
"grad_norm": 0.1742846667766571,
|
| 736 |
+
"learning_rate": 8.235842386064153e-06,
|
| 737 |
+
"loss": 0.3094,
|
| 738 |
+
"step": 52000
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 1.6873433181204602,
|
| 742 |
+
"grad_norm": 0.18685191869735718,
|
| 743 |
+
"learning_rate": 7.834093976987852e-06,
|
| 744 |
+
"loss": 0.309,
|
| 745 |
+
"step": 52500
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 1.7034132544835123,
|
| 749 |
+
"grad_norm": 0.21959276497364044,
|
| 750 |
+
"learning_rate": 7.432345567911551e-06,
|
| 751 |
+
"loss": 0.3118,
|
| 752 |
+
"step": 53000
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 1.7194831908465642,
|
| 756 |
+
"grad_norm": 0.1935770958662033,
|
| 757 |
+
"learning_rate": 7.030597158835252e-06,
|
| 758 |
+
"loss": 0.3106,
|
| 759 |
+
"step": 53500
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 1.7355531272096163,
|
| 763 |
+
"grad_norm": 0.19977129995822906,
|
| 764 |
+
"learning_rate": 6.629652246577103e-06,
|
| 765 |
+
"loss": 0.3101,
|
| 766 |
+
"step": 54000
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 1.7516230635726684,
|
| 770 |
+
"grad_norm": 0.2006288766860962,
|
| 771 |
+
"learning_rate": 6.2279038375008035e-06,
|
| 772 |
+
"loss": 0.3099,
|
| 773 |
+
"step": 54500
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 1.7676929999357203,
|
| 777 |
+
"grad_norm": 0.19280743598937988,
|
| 778 |
+
"learning_rate": 5.826155428424504e-06,
|
| 779 |
+
"loss": 0.308,
|
| 780 |
+
"step": 55000
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 1.7837629362987721,
|
| 784 |
+
"grad_norm": 0.22095157206058502,
|
| 785 |
+
"learning_rate": 5.424407019348204e-06,
|
| 786 |
+
"loss": 0.3069,
|
| 787 |
+
"step": 55500
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 1.7998328726618242,
|
| 791 |
+
"grad_norm": 0.2091740071773529,
|
| 792 |
+
"learning_rate": 5.022658610271903e-06,
|
| 793 |
+
"loss": 0.3062,
|
| 794 |
+
"step": 56000
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 1.8159028090248763,
|
| 798 |
+
"grad_norm": 0.24772244691848755,
|
| 799 |
+
"learning_rate": 4.620910201195604e-06,
|
| 800 |
+
"loss": 0.3093,
|
| 801 |
+
"step": 56500
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 1.8319727453879282,
|
| 805 |
+
"grad_norm": 0.1973961740732193,
|
| 806 |
+
"learning_rate": 4.219161792119303e-06,
|
| 807 |
+
"loss": 0.309,
|
| 808 |
+
"step": 57000
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 1.8480426817509803,
|
| 812 |
+
"grad_norm": 0.22767914831638336,
|
| 813 |
+
"learning_rate": 3.817413383043003e-06,
|
| 814 |
+
"loss": 0.3109,
|
| 815 |
+
"step": 57500
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 1.8641126181140324,
|
| 819 |
+
"grad_norm": 0.21461111307144165,
|
| 820 |
+
"learning_rate": 3.416468470784856e-06,
|
| 821 |
+
"loss": 0.3075,
|
| 822 |
+
"step": 58000
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"epoch": 1.8801825544770843,
|
| 826 |
+
"grad_norm": 0.24607454240322113,
|
| 827 |
+
"learning_rate": 3.0147200617085557e-06,
|
| 828 |
+
"loss": 0.3058,
|
| 829 |
+
"step": 58500
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"epoch": 1.8962524908401361,
|
| 833 |
+
"grad_norm": 0.19667118787765503,
|
| 834 |
+
"learning_rate": 2.6129716526322558e-06,
|
| 835 |
+
"loss": 0.3072,
|
| 836 |
+
"step": 59000
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 1.9123224272031882,
|
| 840 |
+
"grad_norm": 0.22604137659072876,
|
| 841 |
+
"learning_rate": 2.211223243555956e-06,
|
| 842 |
+
"loss": 0.3064,
|
| 843 |
+
"step": 59500
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 1.9283923635662403,
|
| 847 |
+
"grad_norm": 0.1879967898130417,
|
| 848 |
+
"learning_rate": 1.8102783312978082e-06,
|
| 849 |
+
"loss": 0.3063,
|
| 850 |
+
"step": 60000
|
| 851 |
+
},
|
| 852 |
+
{
|
| 853 |
+
"epoch": 1.9444622999292922,
|
| 854 |
+
"grad_norm": 0.21271295845508575,
|
| 855 |
+
"learning_rate": 1.408529922221508e-06,
|
| 856 |
+
"loss": 0.3076,
|
| 857 |
+
"step": 60500
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 1.9605322362923443,
|
| 861 |
+
"grad_norm": 0.16714586317539215,
|
| 862 |
+
"learning_rate": 1.006781513145208e-06,
|
| 863 |
+
"loss": 0.3092,
|
| 864 |
+
"step": 61000
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 1.9766021726553964,
|
| 868 |
+
"grad_norm": 0.20666128396987915,
|
| 869 |
+
"learning_rate": 6.050331040689079e-07,
|
| 870 |
+
"loss": 0.3076,
|
| 871 |
+
"step": 61500
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 1.9926721090184483,
|
| 875 |
+
"grad_norm": 0.18590718507766724,
|
| 876 |
+
"learning_rate": 2.0328469499260785e-07,
|
| 877 |
+
"loss": 0.3063,
|
| 878 |
+
"step": 62000
|
| 879 |
+
}
|
| 880 |
+
],
|
| 881 |
+
"logging_steps": 500,
|
| 882 |
+
"max_steps": 62228,
|
| 883 |
+
"num_input_tokens_seen": 0,
|
| 884 |
+
"num_train_epochs": 2,
|
| 885 |
+
"save_steps": 500,
|
| 886 |
+
"stateful_callbacks": {
|
| 887 |
+
"TrainerControl": {
|
| 888 |
+
"args": {
|
| 889 |
+
"should_epoch_stop": false,
|
| 890 |
+
"should_evaluate": false,
|
| 891 |
+
"should_log": false,
|
| 892 |
+
"should_save": true,
|
| 893 |
+
"should_training_stop": false
|
| 894 |
+
},
|
| 895 |
+
"attributes": {}
|
| 896 |
+
}
|
| 897 |
+
},
|
| 898 |
+
"total_flos": 1.3425893171842253e+17,
|
| 899 |
+
"train_batch_size": 32,
|
| 900 |
+
"trial_name": null,
|
| 901 |
+
"trial_params": null
|
| 902 |
+
}
|
checkpoints/{checkpoint-50500 → checkpoint-62000}/training_args.bin
RENAMED
|
File without changes
|
checkpoints/{checkpoint-50606 → checkpoint-62228}/config.json
RENAMED
|
File without changes
|
checkpoints/{checkpoint-50606 → checkpoint-62228}/generation_config.json
RENAMED
|
File without changes
|
checkpoints/{checkpoint-50606 → checkpoint-62228}/model.safetensors
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 242041896
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7fee19ce79c6f45de80a2e273ede68b16d500dae3a2e3da26235d6b4ebc0f92e
|
| 3 |
size 242041896
|
checkpoints/{checkpoint-50606 → checkpoint-62228}/optimizer.pt
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 484163514
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:86714a27c46ac133d6d9ea7835d73e013ce66bf9fdd762718e18dc2826d7ca1b
|
| 3 |
size 484163514
|
checkpoints/{checkpoint-50000 → checkpoint-62228}/rng_state.pth
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14244
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:18a17ab2d678c291632f4e799e0f8e429a6b4beb3bf190d75be1b7df3597fa44
|
| 3 |
size 14244
|
checkpoints/{checkpoint-50000 → checkpoint-62228}/scaler.pt
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 988
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:db0587d2c7f25e21ab1d2cf91cf211b7d15b48dab687d8d10f7483541a03adb4
|
| 3 |
size 988
|
checkpoints/{checkpoint-50500 → checkpoint-62228}/scheduler.pt
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1064
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6668451fe2db52de44fd5918c452bb44aa29396a4e9e2cd5118e290aececb3f1
|
| 3 |
size 1064
|
checkpoints/{checkpoint-50606 → checkpoint-62228}/special_tokens_map.json
RENAMED
|
File without changes
|
checkpoints/{checkpoint-50606 → checkpoint-62228}/spiece.model
RENAMED
|
File without changes
|
checkpoints/{checkpoint-50606 → checkpoint-62228}/tokenizer.json
RENAMED
|
File without changes
|
checkpoints/{checkpoint-50606 → checkpoint-62228}/tokenizer_config.json
RENAMED
|
File without changes
|
checkpoints/checkpoint-62228/trainer_state.json
ADDED
|
@@ -0,0 +1,902 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 2.0,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 62228,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.016069936363052,
|
| 14 |
+
"grad_norm": 0.3969729542732239,
|
| 15 |
+
"learning_rate": 4.960146557819631e-05,
|
| 16 |
+
"loss": 2.05,
|
| 17 |
+
"step": 500
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.032139872726104,
|
| 21 |
+
"grad_norm": 0.3822907507419586,
|
| 22 |
+
"learning_rate": 4.919971716912001e-05,
|
| 23 |
+
"loss": 1.1207,
|
| 24 |
+
"step": 1000
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.04820980908915601,
|
| 28 |
+
"grad_norm": 0.36019280552864075,
|
| 29 |
+
"learning_rate": 4.879796876004371e-05,
|
| 30 |
+
"loss": 0.9225,
|
| 31 |
+
"step": 1500
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.064279745452208,
|
| 35 |
+
"grad_norm": 0.30364033579826355,
|
| 36 |
+
"learning_rate": 4.8396220350967415e-05,
|
| 37 |
+
"loss": 0.8244,
|
| 38 |
+
"step": 2000
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.08034968181526002,
|
| 42 |
+
"grad_norm": 0.45634394884109497,
|
| 43 |
+
"learning_rate": 4.799447194189111e-05,
|
| 44 |
+
"loss": 0.7506,
|
| 45 |
+
"step": 2500
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.09641961817831202,
|
| 49 |
+
"grad_norm": 0.3562425374984741,
|
| 50 |
+
"learning_rate": 4.759272353281481e-05,
|
| 51 |
+
"loss": 0.7012,
|
| 52 |
+
"step": 3000
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.11248955454136401,
|
| 56 |
+
"grad_norm": 0.33726808428764343,
|
| 57 |
+
"learning_rate": 4.719097512373851e-05,
|
| 58 |
+
"loss": 0.6706,
|
| 59 |
+
"step": 3500
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.128559490904416,
|
| 63 |
+
"grad_norm": 0.30098849534988403,
|
| 64 |
+
"learning_rate": 4.678922671466221e-05,
|
| 65 |
+
"loss": 0.6308,
|
| 66 |
+
"step": 4000
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.14462942726746802,
|
| 70 |
+
"grad_norm": 0.29443585872650146,
|
| 71 |
+
"learning_rate": 4.6387478305585915e-05,
|
| 72 |
+
"loss": 0.6141,
|
| 73 |
+
"step": 4500
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.16069936363052004,
|
| 77 |
+
"grad_norm": 0.25647810101509094,
|
| 78 |
+
"learning_rate": 4.598572989650961e-05,
|
| 79 |
+
"loss": 0.5866,
|
| 80 |
+
"step": 5000
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.17676929999357202,
|
| 84 |
+
"grad_norm": 0.2516370415687561,
|
| 85 |
+
"learning_rate": 4.558398148743331e-05,
|
| 86 |
+
"loss": 0.5665,
|
| 87 |
+
"step": 5500
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.19283923635662403,
|
| 91 |
+
"grad_norm": 0.3337278366088867,
|
| 92 |
+
"learning_rate": 4.518223307835701e-05,
|
| 93 |
+
"loss": 0.5427,
|
| 94 |
+
"step": 6000
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.20890917271967602,
|
| 98 |
+
"grad_norm": 0.2592964470386505,
|
| 99 |
+
"learning_rate": 4.478048466928072e-05,
|
| 100 |
+
"loss": 0.5323,
|
| 101 |
+
"step": 6500
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.22497910908272803,
|
| 105 |
+
"grad_norm": 0.28550606966018677,
|
| 106 |
+
"learning_rate": 4.437873626020441e-05,
|
| 107 |
+
"loss": 0.5187,
|
| 108 |
+
"step": 7000
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.24104904544578004,
|
| 112 |
+
"grad_norm": 0.26474013924598694,
|
| 113 |
+
"learning_rate": 4.397698785112811e-05,
|
| 114 |
+
"loss": 0.5058,
|
| 115 |
+
"step": 7500
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.257118981808832,
|
| 119 |
+
"grad_norm": 0.3018198013305664,
|
| 120 |
+
"learning_rate": 4.3575239442051814e-05,
|
| 121 |
+
"loss": 0.5013,
|
| 122 |
+
"step": 8000
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.27318891817188407,
|
| 126 |
+
"grad_norm": 0.2628585994243622,
|
| 127 |
+
"learning_rate": 4.317349103297551e-05,
|
| 128 |
+
"loss": 0.4883,
|
| 129 |
+
"step": 8500
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.28925885453493605,
|
| 133 |
+
"grad_norm": 0.30172979831695557,
|
| 134 |
+
"learning_rate": 4.277174262389921e-05,
|
| 135 |
+
"loss": 0.4795,
|
| 136 |
+
"step": 9000
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.30532879089798803,
|
| 140 |
+
"grad_norm": 0.25293004512786865,
|
| 141 |
+
"learning_rate": 4.236999421482291e-05,
|
| 142 |
+
"loss": 0.4682,
|
| 143 |
+
"step": 9500
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.3213987272610401,
|
| 147 |
+
"grad_norm": 0.2726214528083801,
|
| 148 |
+
"learning_rate": 4.196824580574661e-05,
|
| 149 |
+
"loss": 0.4641,
|
| 150 |
+
"step": 10000
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.33746866362409206,
|
| 154 |
+
"grad_norm": 0.2570224106311798,
|
| 155 |
+
"learning_rate": 4.1566497396670314e-05,
|
| 156 |
+
"loss": 0.4556,
|
| 157 |
+
"step": 10500
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.35353859998714404,
|
| 161 |
+
"grad_norm": 0.26380738615989685,
|
| 162 |
+
"learning_rate": 4.1164748987594006e-05,
|
| 163 |
+
"loss": 0.449,
|
| 164 |
+
"step": 11000
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.369608536350196,
|
| 168 |
+
"grad_norm": 0.2555176913738251,
|
| 169 |
+
"learning_rate": 4.076300057851771e-05,
|
| 170 |
+
"loss": 0.4412,
|
| 171 |
+
"step": 11500
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.38567847271324807,
|
| 175 |
+
"grad_norm": 0.2122594565153122,
|
| 176 |
+
"learning_rate": 4.036125216944141e-05,
|
| 177 |
+
"loss": 0.4365,
|
| 178 |
+
"step": 12000
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.40174840907630005,
|
| 182 |
+
"grad_norm": 0.2333071529865265,
|
| 183 |
+
"learning_rate": 3.9959503760365116e-05,
|
| 184 |
+
"loss": 0.433,
|
| 185 |
+
"step": 12500
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.41781834543935203,
|
| 189 |
+
"grad_norm": 0.24873752892017365,
|
| 190 |
+
"learning_rate": 3.955775535128881e-05,
|
| 191 |
+
"loss": 0.4283,
|
| 192 |
+
"step": 13000
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.4338882818024041,
|
| 196 |
+
"grad_norm": 0.32416871190071106,
|
| 197 |
+
"learning_rate": 3.915600694221251e-05,
|
| 198 |
+
"loss": 0.4218,
|
| 199 |
+
"step": 13500
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.44995821816545606,
|
| 203 |
+
"grad_norm": 0.23515433073043823,
|
| 204 |
+
"learning_rate": 3.875425853313621e-05,
|
| 205 |
+
"loss": 0.4139,
|
| 206 |
+
"step": 14000
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.46602815452850804,
|
| 210 |
+
"grad_norm": 0.22002151608467102,
|
| 211 |
+
"learning_rate": 3.8353313620878064e-05,
|
| 212 |
+
"loss": 0.417,
|
| 213 |
+
"step": 14500
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.4820980908915601,
|
| 217 |
+
"grad_norm": 0.251897931098938,
|
| 218 |
+
"learning_rate": 3.795156521180176e-05,
|
| 219 |
+
"loss": 0.4106,
|
| 220 |
+
"step": 15000
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.49816802725461207,
|
| 224 |
+
"grad_norm": 0.26212435960769653,
|
| 225 |
+
"learning_rate": 3.754981680272546e-05,
|
| 226 |
+
"loss": 0.4037,
|
| 227 |
+
"step": 15500
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.514237963617664,
|
| 231 |
+
"grad_norm": 0.2718159258365631,
|
| 232 |
+
"learning_rate": 3.714887189046731e-05,
|
| 233 |
+
"loss": 0.402,
|
| 234 |
+
"step": 16000
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.530307899980716,
|
| 238 |
+
"grad_norm": 0.23812739551067352,
|
| 239 |
+
"learning_rate": 3.674712348139102e-05,
|
| 240 |
+
"loss": 0.3953,
|
| 241 |
+
"step": 16500
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.5463778363437681,
|
| 245 |
+
"grad_norm": 0.21076083183288574,
|
| 246 |
+
"learning_rate": 3.634537507231471e-05,
|
| 247 |
+
"loss": 0.3938,
|
| 248 |
+
"step": 17000
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.5624477727068201,
|
| 252 |
+
"grad_norm": 0.25489869713783264,
|
| 253 |
+
"learning_rate": 3.5943626663238416e-05,
|
| 254 |
+
"loss": 0.3921,
|
| 255 |
+
"step": 17500
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.5785177090698721,
|
| 259 |
+
"grad_norm": 0.24057357013225555,
|
| 260 |
+
"learning_rate": 3.5541878254162115e-05,
|
| 261 |
+
"loss": 0.3867,
|
| 262 |
+
"step": 18000
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.5945876454329241,
|
| 266 |
+
"grad_norm": 0.24298915266990662,
|
| 267 |
+
"learning_rate": 3.514012984508582e-05,
|
| 268 |
+
"loss": 0.3868,
|
| 269 |
+
"step": 18500
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.6106575817959761,
|
| 273 |
+
"grad_norm": 0.2183919996023178,
|
| 274 |
+
"learning_rate": 3.473838143600951e-05,
|
| 275 |
+
"loss": 0.3803,
|
| 276 |
+
"step": 19000
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.626727518159028,
|
| 280 |
+
"grad_norm": 0.2278251349925995,
|
| 281 |
+
"learning_rate": 3.433663302693321e-05,
|
| 282 |
+
"loss": 0.3775,
|
| 283 |
+
"step": 19500
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.6427974545220801,
|
| 287 |
+
"grad_norm": 0.240201935172081,
|
| 288 |
+
"learning_rate": 3.393568811467507e-05,
|
| 289 |
+
"loss": 0.3751,
|
| 290 |
+
"step": 20000
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.6588673908851321,
|
| 294 |
+
"grad_norm": 0.21118561923503876,
|
| 295 |
+
"learning_rate": 3.353393970559877e-05,
|
| 296 |
+
"loss": 0.3742,
|
| 297 |
+
"step": 20500
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.6749373272481841,
|
| 301 |
+
"grad_norm": 0.22640825808048248,
|
| 302 |
+
"learning_rate": 3.313219129652247e-05,
|
| 303 |
+
"loss": 0.3729,
|
| 304 |
+
"step": 21000
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 0.6910072636112361,
|
| 308 |
+
"grad_norm": 0.23105542361736298,
|
| 309 |
+
"learning_rate": 3.2730442887446166e-05,
|
| 310 |
+
"loss": 0.3687,
|
| 311 |
+
"step": 21500
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 0.7070771999742881,
|
| 315 |
+
"grad_norm": 0.24791008234024048,
|
| 316 |
+
"learning_rate": 3.2329497975188024e-05,
|
| 317 |
+
"loss": 0.3658,
|
| 318 |
+
"step": 22000
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 0.7231471363373401,
|
| 322 |
+
"grad_norm": 0.2497881054878235,
|
| 323 |
+
"learning_rate": 3.1928553062929875e-05,
|
| 324 |
+
"loss": 0.3646,
|
| 325 |
+
"step": 22500
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.739217072700392,
|
| 329 |
+
"grad_norm": 0.2395261973142624,
|
| 330 |
+
"learning_rate": 3.152680465385357e-05,
|
| 331 |
+
"loss": 0.3655,
|
| 332 |
+
"step": 23000
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.7552870090634441,
|
| 336 |
+
"grad_norm": 0.21194589138031006,
|
| 337 |
+
"learning_rate": 3.112505624477727e-05,
|
| 338 |
+
"loss": 0.3646,
|
| 339 |
+
"step": 23500
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.7713569454264961,
|
| 343 |
+
"grad_norm": 0.21682508289813995,
|
| 344 |
+
"learning_rate": 3.072330783570097e-05,
|
| 345 |
+
"loss": 0.3629,
|
| 346 |
+
"step": 24000
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.7874268817895481,
|
| 350 |
+
"grad_norm": 0.23710566759109497,
|
| 351 |
+
"learning_rate": 3.0321559426624674e-05,
|
| 352 |
+
"loss": 0.3583,
|
| 353 |
+
"step": 24500
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.8034968181526001,
|
| 357 |
+
"grad_norm": 0.23857219517230988,
|
| 358 |
+
"learning_rate": 2.9919811017548372e-05,
|
| 359 |
+
"loss": 0.3561,
|
| 360 |
+
"step": 25000
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.8195667545156521,
|
| 364 |
+
"grad_norm": 0.241951584815979,
|
| 365 |
+
"learning_rate": 2.9518062608472075e-05,
|
| 366 |
+
"loss": 0.3537,
|
| 367 |
+
"step": 25500
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 0.8356366908787041,
|
| 371 |
+
"grad_norm": 0.275765061378479,
|
| 372 |
+
"learning_rate": 2.9116314199395773e-05,
|
| 373 |
+
"loss": 0.3493,
|
| 374 |
+
"step": 26000
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 0.8517066272417562,
|
| 378 |
+
"grad_norm": 0.24757184088230133,
|
| 379 |
+
"learning_rate": 2.871536928713762e-05,
|
| 380 |
+
"loss": 0.3486,
|
| 381 |
+
"step": 26500
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 0.8677765636048081,
|
| 385 |
+
"grad_norm": 0.21833688020706177,
|
| 386 |
+
"learning_rate": 2.8313620878061327e-05,
|
| 387 |
+
"loss": 0.3461,
|
| 388 |
+
"step": 27000
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 0.8838464999678601,
|
| 392 |
+
"grad_norm": 0.21623168885707855,
|
| 393 |
+
"learning_rate": 2.7911872468985022e-05,
|
| 394 |
+
"loss": 0.3468,
|
| 395 |
+
"step": 27500
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 0.8999164363309121,
|
| 399 |
+
"grad_norm": 0.20861521363258362,
|
| 400 |
+
"learning_rate": 2.7510124059908728e-05,
|
| 401 |
+
"loss": 0.3481,
|
| 402 |
+
"step": 28000
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.9159863726939641,
|
| 406 |
+
"grad_norm": 0.20291315019130707,
|
| 407 |
+
"learning_rate": 2.7108375650832423e-05,
|
| 408 |
+
"loss": 0.3474,
|
| 409 |
+
"step": 28500
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 0.9320563090570161,
|
| 413 |
+
"grad_norm": 0.2101660966873169,
|
| 414 |
+
"learning_rate": 2.6707430738574275e-05,
|
| 415 |
+
"loss": 0.3412,
|
| 416 |
+
"step": 29000
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.9481262454200682,
|
| 420 |
+
"grad_norm": 0.23224739730358124,
|
| 421 |
+
"learning_rate": 2.6305682329497977e-05,
|
| 422 |
+
"loss": 0.3422,
|
| 423 |
+
"step": 29500
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 0.9641961817831202,
|
| 427 |
+
"grad_norm": 0.22987599670886993,
|
| 428 |
+
"learning_rate": 2.5903933920421676e-05,
|
| 429 |
+
"loss": 0.3407,
|
| 430 |
+
"step": 30000
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 0.9802661181461721,
|
| 434 |
+
"grad_norm": 0.22307533025741577,
|
| 435 |
+
"learning_rate": 2.5502185511345378e-05,
|
| 436 |
+
"loss": 0.3365,
|
| 437 |
+
"step": 30500
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 0.9963360545092241,
|
| 441 |
+
"grad_norm": 0.20577801764011383,
|
| 442 |
+
"learning_rate": 2.510124059908723e-05,
|
| 443 |
+
"loss": 0.3409,
|
| 444 |
+
"step": 31000
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 1.0124059908722762,
|
| 448 |
+
"grad_norm": 0.23968417942523956,
|
| 449 |
+
"learning_rate": 2.4699492190010928e-05,
|
| 450 |
+
"loss": 0.339,
|
| 451 |
+
"step": 31500
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 1.028475927235328,
|
| 455 |
+
"grad_norm": 0.2166174054145813,
|
| 456 |
+
"learning_rate": 2.429774378093463e-05,
|
| 457 |
+
"loss": 0.3317,
|
| 458 |
+
"step": 32000
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 1.0445458635983802,
|
| 462 |
+
"grad_norm": 0.22259151935577393,
|
| 463 |
+
"learning_rate": 2.389599537185833e-05,
|
| 464 |
+
"loss": 0.3404,
|
| 465 |
+
"step": 32500
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 1.060615799961432,
|
| 469 |
+
"grad_norm": 0.2585219442844391,
|
| 470 |
+
"learning_rate": 2.3495050459600184e-05,
|
| 471 |
+
"loss": 0.3322,
|
| 472 |
+
"step": 33000
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 1.0766857363244842,
|
| 476 |
+
"grad_norm": 0.23949937522411346,
|
| 477 |
+
"learning_rate": 2.3093302050523882e-05,
|
| 478 |
+
"loss": 0.3332,
|
| 479 |
+
"step": 33500
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 1.0927556726875363,
|
| 483 |
+
"grad_norm": 0.2360944151878357,
|
| 484 |
+
"learning_rate": 2.269155364144758e-05,
|
| 485 |
+
"loss": 0.3374,
|
| 486 |
+
"step": 34000
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 1.1088256090505881,
|
| 490 |
+
"grad_norm": 0.23383018374443054,
|
| 491 |
+
"learning_rate": 2.228980523237128e-05,
|
| 492 |
+
"loss": 0.3287,
|
| 493 |
+
"step": 34500
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 1.1248955454136402,
|
| 497 |
+
"grad_norm": 0.25602060556411743,
|
| 498 |
+
"learning_rate": 2.1888860320113135e-05,
|
| 499 |
+
"loss": 0.3262,
|
| 500 |
+
"step": 35000
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 1.140965481776692,
|
| 504 |
+
"grad_norm": 0.2233658730983734,
|
| 505 |
+
"learning_rate": 2.1487111911036833e-05,
|
| 506 |
+
"loss": 0.3294,
|
| 507 |
+
"step": 35500
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 1.1570354181397442,
|
| 511 |
+
"grad_norm": 0.23545712232589722,
|
| 512 |
+
"learning_rate": 2.1085363501960532e-05,
|
| 513 |
+
"loss": 0.3263,
|
| 514 |
+
"step": 36000
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 1.173105354502796,
|
| 518 |
+
"grad_norm": 0.22479598224163055,
|
| 519 |
+
"learning_rate": 2.0683615092884234e-05,
|
| 520 |
+
"loss": 0.328,
|
| 521 |
+
"step": 36500
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 1.1891752908658482,
|
| 525 |
+
"grad_norm": 0.22207121551036835,
|
| 526 |
+
"learning_rate": 2.0282670180626086e-05,
|
| 527 |
+
"loss": 0.3275,
|
| 528 |
+
"step": 37000
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 1.2052452272289003,
|
| 532 |
+
"grad_norm": 0.23822110891342163,
|
| 533 |
+
"learning_rate": 1.9880921771549785e-05,
|
| 534 |
+
"loss": 0.3273,
|
| 535 |
+
"step": 37500
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 1.2213151635919521,
|
| 539 |
+
"grad_norm": 0.23664866387844086,
|
| 540 |
+
"learning_rate": 1.9479173362473487e-05,
|
| 541 |
+
"loss": 0.318,
|
| 542 |
+
"step": 38000
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 1.2373850999550042,
|
| 546 |
+
"grad_norm": 0.18543508648872375,
|
| 547 |
+
"learning_rate": 1.9077424953397185e-05,
|
| 548 |
+
"loss": 0.3235,
|
| 549 |
+
"step": 38500
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 1.253455036318056,
|
| 553 |
+
"grad_norm": 0.23305822908878326,
|
| 554 |
+
"learning_rate": 1.8676480041139037e-05,
|
| 555 |
+
"loss": 0.3243,
|
| 556 |
+
"step": 39000
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 1.2695249726811082,
|
| 560 |
+
"grad_norm": 0.21699073910713196,
|
| 561 |
+
"learning_rate": 1.827473163206274e-05,
|
| 562 |
+
"loss": 0.3222,
|
| 563 |
+
"step": 39500
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 1.28559490904416,
|
| 567 |
+
"grad_norm": 0.2757895588874817,
|
| 568 |
+
"learning_rate": 1.7872983222986438e-05,
|
| 569 |
+
"loss": 0.3248,
|
| 570 |
+
"step": 40000
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 1.3016648454072122,
|
| 574 |
+
"grad_norm": 0.19769324362277985,
|
| 575 |
+
"learning_rate": 1.7471234813910137e-05,
|
| 576 |
+
"loss": 0.3179,
|
| 577 |
+
"step": 40500
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 1.3177347817702643,
|
| 581 |
+
"grad_norm": 0.18964402377605438,
|
| 582 |
+
"learning_rate": 1.707028990165199e-05,
|
| 583 |
+
"loss": 0.3178,
|
| 584 |
+
"step": 41000
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 1.3338047181333161,
|
| 588 |
+
"grad_norm": 0.2584107220172882,
|
| 589 |
+
"learning_rate": 1.666854149257569e-05,
|
| 590 |
+
"loss": 0.318,
|
| 591 |
+
"step": 41500
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 1.3498746544963682,
|
| 595 |
+
"grad_norm": 0.25919750332832336,
|
| 596 |
+
"learning_rate": 1.626759658031754e-05,
|
| 597 |
+
"loss": 0.3205,
|
| 598 |
+
"step": 42000
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 1.3659445908594203,
|
| 602 |
+
"grad_norm": 0.24371759593486786,
|
| 603 |
+
"learning_rate": 1.5865848171241244e-05,
|
| 604 |
+
"loss": 0.3186,
|
| 605 |
+
"step": 42500
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 1.3820145272224722,
|
| 609 |
+
"grad_norm": 0.24457883834838867,
|
| 610 |
+
"learning_rate": 1.5464099762164942e-05,
|
| 611 |
+
"loss": 0.3162,
|
| 612 |
+
"step": 43000
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 1.398084463585524,
|
| 616 |
+
"grad_norm": 0.1918337345123291,
|
| 617 |
+
"learning_rate": 1.5062351353088641e-05,
|
| 618 |
+
"loss": 0.3169,
|
| 619 |
+
"step": 43500
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 1.4141543999485762,
|
| 623 |
+
"grad_norm": 0.2350657880306244,
|
| 624 |
+
"learning_rate": 1.4660602944012342e-05,
|
| 625 |
+
"loss": 0.3171,
|
| 626 |
+
"step": 44000
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 1.4302243363116283,
|
| 630 |
+
"grad_norm": 0.2481279820203781,
|
| 631 |
+
"learning_rate": 1.4258854534936042e-05,
|
| 632 |
+
"loss": 0.3179,
|
| 633 |
+
"step": 44500
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 1.4462942726746801,
|
| 637 |
+
"grad_norm": 0.21132701635360718,
|
| 638 |
+
"learning_rate": 1.3857106125859743e-05,
|
| 639 |
+
"loss": 0.3125,
|
| 640 |
+
"step": 45000
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 1.4623642090377322,
|
| 644 |
+
"grad_norm": 0.20240716636180878,
|
| 645 |
+
"learning_rate": 1.3455357716783443e-05,
|
| 646 |
+
"loss": 0.3172,
|
| 647 |
+
"step": 45500
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 1.4784341454007843,
|
| 651 |
+
"grad_norm": 0.2224823385477066,
|
| 652 |
+
"learning_rate": 1.3054412804525296e-05,
|
| 653 |
+
"loss": 0.3151,
|
| 654 |
+
"step": 46000
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 1.4945040817638362,
|
| 658 |
+
"grad_norm": 0.19261781871318817,
|
| 659 |
+
"learning_rate": 1.2652664395448997e-05,
|
| 660 |
+
"loss": 0.312,
|
| 661 |
+
"step": 46500
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 1.510574018126888,
|
| 665 |
+
"grad_norm": 0.16068917512893677,
|
| 666 |
+
"learning_rate": 1.2250915986372695e-05,
|
| 667 |
+
"loss": 0.3145,
|
| 668 |
+
"step": 47000
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 1.5266439544899402,
|
| 672 |
+
"grad_norm": 0.18192972242832184,
|
| 673 |
+
"learning_rate": 1.1849167577296394e-05,
|
| 674 |
+
"loss": 0.3134,
|
| 675 |
+
"step": 47500
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 1.5427138908529923,
|
| 679 |
+
"grad_norm": 0.19884943962097168,
|
| 680 |
+
"learning_rate": 1.1448222665038247e-05,
|
| 681 |
+
"loss": 0.3119,
|
| 682 |
+
"step": 48000
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 1.5587838272160441,
|
| 686 |
+
"grad_norm": 0.1883106529712677,
|
| 687 |
+
"learning_rate": 1.1046474255961948e-05,
|
| 688 |
+
"loss": 0.316,
|
| 689 |
+
"step": 48500
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 1.5748537635790962,
|
| 693 |
+
"grad_norm": 0.19331087172031403,
|
| 694 |
+
"learning_rate": 1.0644725846885646e-05,
|
| 695 |
+
"loss": 0.3135,
|
| 696 |
+
"step": 49000
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 1.5909236999421483,
|
| 700 |
+
"grad_norm": 0.20041531324386597,
|
| 701 |
+
"learning_rate": 1.0242977437809347e-05,
|
| 702 |
+
"loss": 0.3112,
|
| 703 |
+
"step": 49500
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 1.6069936363052002,
|
| 707 |
+
"grad_norm": 0.18530187010765076,
|
| 708 |
+
"learning_rate": 9.8420325255512e-06,
|
| 709 |
+
"loss": 0.3122,
|
| 710 |
+
"step": 50000
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 1.623063572668252,
|
| 714 |
+
"grad_norm": 0.22725620865821838,
|
| 715 |
+
"learning_rate": 9.4402841164749e-06,
|
| 716 |
+
"loss": 0.3122,
|
| 717 |
+
"step": 50500
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 1.6391335090313044,
|
| 721 |
+
"grad_norm": 0.23093479871749878,
|
| 722 |
+
"learning_rate": 9.0385357073986e-06,
|
| 723 |
+
"loss": 0.3149,
|
| 724 |
+
"step": 51000
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 1.6552034453943563,
|
| 728 |
+
"grad_norm": 0.19580845534801483,
|
| 729 |
+
"learning_rate": 8.6367872983223e-06,
|
| 730 |
+
"loss": 0.3121,
|
| 731 |
+
"step": 51500
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 1.6712733817574081,
|
| 735 |
+
"grad_norm": 0.1742846667766571,
|
| 736 |
+
"learning_rate": 8.235842386064153e-06,
|
| 737 |
+
"loss": 0.3094,
|
| 738 |
+
"step": 52000
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 1.6873433181204602,
|
| 742 |
+
"grad_norm": 0.18685191869735718,
|
| 743 |
+
"learning_rate": 7.834093976987852e-06,
|
| 744 |
+
"loss": 0.309,
|
| 745 |
+
"step": 52500
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 1.7034132544835123,
|
| 749 |
+
"grad_norm": 0.21959276497364044,
|
| 750 |
+
"learning_rate": 7.432345567911551e-06,
|
| 751 |
+
"loss": 0.3118,
|
| 752 |
+
"step": 53000
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 1.7194831908465642,
|
| 756 |
+
"grad_norm": 0.1935770958662033,
|
| 757 |
+
"learning_rate": 7.030597158835252e-06,
|
| 758 |
+
"loss": 0.3106,
|
| 759 |
+
"step": 53500
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 1.7355531272096163,
|
| 763 |
+
"grad_norm": 0.19977129995822906,
|
| 764 |
+
"learning_rate": 6.629652246577103e-06,
|
| 765 |
+
"loss": 0.3101,
|
| 766 |
+
"step": 54000
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 1.7516230635726684,
|
| 770 |
+
"grad_norm": 0.2006288766860962,
|
| 771 |
+
"learning_rate": 6.2279038375008035e-06,
|
| 772 |
+
"loss": 0.3099,
|
| 773 |
+
"step": 54500
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 1.7676929999357203,
|
| 777 |
+
"grad_norm": 0.19280743598937988,
|
| 778 |
+
"learning_rate": 5.826155428424504e-06,
|
| 779 |
+
"loss": 0.308,
|
| 780 |
+
"step": 55000
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 1.7837629362987721,
|
| 784 |
+
"grad_norm": 0.22095157206058502,
|
| 785 |
+
"learning_rate": 5.424407019348204e-06,
|
| 786 |
+
"loss": 0.3069,
|
| 787 |
+
"step": 55500
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 1.7998328726618242,
|
| 791 |
+
"grad_norm": 0.2091740071773529,
|
| 792 |
+
"learning_rate": 5.022658610271903e-06,
|
| 793 |
+
"loss": 0.3062,
|
| 794 |
+
"step": 56000
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 1.8159028090248763,
|
| 798 |
+
"grad_norm": 0.24772244691848755,
|
| 799 |
+
"learning_rate": 4.620910201195604e-06,
|
| 800 |
+
"loss": 0.3093,
|
| 801 |
+
"step": 56500
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 1.8319727453879282,
|
| 805 |
+
"grad_norm": 0.1973961740732193,
|
| 806 |
+
"learning_rate": 4.219161792119303e-06,
|
| 807 |
+
"loss": 0.309,
|
| 808 |
+
"step": 57000
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 1.8480426817509803,
|
| 812 |
+
"grad_norm": 0.22767914831638336,
|
| 813 |
+
"learning_rate": 3.817413383043003e-06,
|
| 814 |
+
"loss": 0.3109,
|
| 815 |
+
"step": 57500
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 1.8641126181140324,
|
| 819 |
+
"grad_norm": 0.21461111307144165,
|
| 820 |
+
"learning_rate": 3.416468470784856e-06,
|
| 821 |
+
"loss": 0.3075,
|
| 822 |
+
"step": 58000
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"epoch": 1.8801825544770843,
|
| 826 |
+
"grad_norm": 0.24607454240322113,
|
| 827 |
+
"learning_rate": 3.0147200617085557e-06,
|
| 828 |
+
"loss": 0.3058,
|
| 829 |
+
"step": 58500
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"epoch": 1.8962524908401361,
|
| 833 |
+
"grad_norm": 0.19667118787765503,
|
| 834 |
+
"learning_rate": 2.6129716526322558e-06,
|
| 835 |
+
"loss": 0.3072,
|
| 836 |
+
"step": 59000
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 1.9123224272031882,
|
| 840 |
+
"grad_norm": 0.22604137659072876,
|
| 841 |
+
"learning_rate": 2.211223243555956e-06,
|
| 842 |
+
"loss": 0.3064,
|
| 843 |
+
"step": 59500
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 1.9283923635662403,
|
| 847 |
+
"grad_norm": 0.1879967898130417,
|
| 848 |
+
"learning_rate": 1.8102783312978082e-06,
|
| 849 |
+
"loss": 0.3063,
|
| 850 |
+
"step": 60000
|
| 851 |
+
},
|
| 852 |
+
{
|
| 853 |
+
"epoch": 1.9444622999292922,
|
| 854 |
+
"grad_norm": 0.21271295845508575,
|
| 855 |
+
"learning_rate": 1.408529922221508e-06,
|
| 856 |
+
"loss": 0.3076,
|
| 857 |
+
"step": 60500
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 1.9605322362923443,
|
| 861 |
+
"grad_norm": 0.16714586317539215,
|
| 862 |
+
"learning_rate": 1.006781513145208e-06,
|
| 863 |
+
"loss": 0.3092,
|
| 864 |
+
"step": 61000
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 1.9766021726553964,
|
| 868 |
+
"grad_norm": 0.20666128396987915,
|
| 869 |
+
"learning_rate": 6.050331040689079e-07,
|
| 870 |
+
"loss": 0.3076,
|
| 871 |
+
"step": 61500
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 1.9926721090184483,
|
| 875 |
+
"grad_norm": 0.18590718507766724,
|
| 876 |
+
"learning_rate": 2.0328469499260785e-07,
|
| 877 |
+
"loss": 0.3063,
|
| 878 |
+
"step": 62000
|
| 879 |
+
}
|
| 880 |
+
],
|
| 881 |
+
"logging_steps": 500,
|
| 882 |
+
"max_steps": 62228,
|
| 883 |
+
"num_input_tokens_seen": 0,
|
| 884 |
+
"num_train_epochs": 2,
|
| 885 |
+
"save_steps": 500,
|
| 886 |
+
"stateful_callbacks": {
|
| 887 |
+
"TrainerControl": {
|
| 888 |
+
"args": {
|
| 889 |
+
"should_epoch_stop": false,
|
| 890 |
+
"should_evaluate": false,
|
| 891 |
+
"should_log": false,
|
| 892 |
+
"should_save": true,
|
| 893 |
+
"should_training_stop": true
|
| 894 |
+
},
|
| 895 |
+
"attributes": {}
|
| 896 |
+
}
|
| 897 |
+
},
|
| 898 |
+
"total_flos": 1.3475252326839091e+17,
|
| 899 |
+
"train_batch_size": 32,
|
| 900 |
+
"trial_name": null,
|
| 901 |
+
"trial_params": null
|
| 902 |
+
}
|
checkpoints/{checkpoint-50606 → checkpoint-62228}/training_args.bin
RENAMED
|
File without changes
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 242041896
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7fee19ce79c6f45de80a2e273ede68b16d500dae3a2e3da26235d6b4ebc0f92e
|
| 3 |
size 242041896
|
src/data/__pycache__/generate_cyr_lat_pairs.cpython-312.pyc
ADDED
|
Binary file (6.54 kB). View file
|
|
|