Upload 13 files
Browse files- README.md +52 -3
- adapter_config.json +31 -0
- adapter_model.safetensors +3 -0
- all_results.json +14 -0
- config.json +28 -0
- eval_results.json +8 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +42 -0
- train_results.json +9 -0
- trainer_state.json +1641 -0
- training_args.bin +3 -0
README.md
CHANGED
|
@@ -1,3 +1,52 @@
|
|
| 1 |
-
---
|
| 2 |
-
license: apache-2.0
|
| 3 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
library_name: peft
|
| 4 |
+
tags:
|
| 5 |
+
- alignment-handbook
|
| 6 |
+
- generated_from_trainer
|
| 7 |
+
base_model: h2oai/h2o-danube-1.8b-base
|
| 8 |
+
datasets:
|
| 9 |
+
- HuggingFaceH4/ultrachat_200k
|
| 10 |
+
model-index:
|
| 11 |
+
- name: zephyr-danube-sft-qlora
|
| 12 |
+
results: []
|
| 13 |
+
---
|
| 14 |
+
|
| 15 |
+
**Note**: This model card has been generated automatically according to the information the Trainer had access to.
|
| 16 |
+
Visit the [model card](https://ritvik19.github.io/zephyr-mini/) to see the full description.
|
| 17 |
+
|
| 18 |
+
# zephyr-danube-sft-qlora
|
| 19 |
+
|
| 20 |
+
This model is a fine-tuned version of [h2oai/h2o-danube-1.8b-base](https://huggingface.co/h2oai/h2o-danube-1.8b-base) on the HuggingFaceH4/ultrachat_200k dataset.
|
| 21 |
+
It achieves the following results on the evaluation set:
|
| 22 |
+
- Loss: 1.0893
|
| 23 |
+
|
| 24 |
+
### Training hyperparameters
|
| 25 |
+
|
| 26 |
+
The following hyperparameters were used during training:
|
| 27 |
+
- learning_rate: 0.0002
|
| 28 |
+
- train_batch_size: 1
|
| 29 |
+
- eval_batch_size: 1
|
| 30 |
+
- seed: 42
|
| 31 |
+
- distributed_type: multi-GPU
|
| 32 |
+
- gradient_accumulation_steps: 128
|
| 33 |
+
- total_train_batch_size: 128
|
| 34 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 35 |
+
- lr_scheduler_type: cosine
|
| 36 |
+
- lr_scheduler_warmup_ratio: 0.1
|
| 37 |
+
- num_epochs: 1
|
| 38 |
+
|
| 39 |
+
### Training results
|
| 40 |
+
|
| 41 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 42 |
+
|:-------------:|:------:|:----:|:---------------:|
|
| 43 |
+
| 1.0883 | 0.9998 | 1140 | 1.0893 |
|
| 44 |
+
|
| 45 |
+
|
| 46 |
+
### Framework versions
|
| 47 |
+
|
| 48 |
+
- PEFT 0.7.1
|
| 49 |
+
- Transformers 4.40.1
|
| 50 |
+
- Pytorch 2.1.2+cu121
|
| 51 |
+
- Datasets 2.19.0
|
| 52 |
+
- Tokenizers 0.19.1
|
adapter_config.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "h2oai/h2o-danube-1.8b-base",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layers_pattern": null,
|
| 10 |
+
"layers_to_transform": null,
|
| 11 |
+
"loftq_config": {},
|
| 12 |
+
"lora_alpha": 16,
|
| 13 |
+
"lora_dropout": 0.05,
|
| 14 |
+
"megatron_config": null,
|
| 15 |
+
"megatron_core": "megatron.core",
|
| 16 |
+
"modules_to_save": null,
|
| 17 |
+
"peft_type": "LORA",
|
| 18 |
+
"r": 16,
|
| 19 |
+
"rank_pattern": {},
|
| 20 |
+
"revision": null,
|
| 21 |
+
"target_modules": [
|
| 22 |
+
"down_proj",
|
| 23 |
+
"gate_proj",
|
| 24 |
+
"q_proj",
|
| 25 |
+
"v_proj",
|
| 26 |
+
"up_proj",
|
| 27 |
+
"o_proj",
|
| 28 |
+
"k_proj"
|
| 29 |
+
],
|
| 30 |
+
"task_type": "CAUSAL_LM"
|
| 31 |
+
}
|
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4f8e9a952c22d7321bd74f842dfcf17749e2616e7af1b9f06e11bbf7b007226a
|
| 3 |
+
size 34647816
|
all_results.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 0.9997807498355624,
|
| 3 |
+
"eval_loss": 1.089297890663147,
|
| 4 |
+
"eval_runtime": 2019.9951,
|
| 5 |
+
"eval_samples": 23109,
|
| 6 |
+
"eval_samples_per_second": 7.996,
|
| 7 |
+
"eval_steps_per_second": 7.996,
|
| 8 |
+
"total_flos": 3.167597749864497e+18,
|
| 9 |
+
"train_loss": 0.80264539467661,
|
| 10 |
+
"train_runtime": 53655.2232,
|
| 11 |
+
"train_samples": 207864,
|
| 12 |
+
"train_samples_per_second": 2.72,
|
| 13 |
+
"train_steps_per_second": 0.021
|
| 14 |
+
}
|
config.json
ADDED
|
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "h2oai/h2o-danube-1.8b-base",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"MistralForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"bos_token_id": 1,
|
| 8 |
+
"eos_token_id": 2,
|
| 9 |
+
"hidden_act": "silu",
|
| 10 |
+
"hidden_size": 2560,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"intermediate_size": 6912,
|
| 13 |
+
"max_position_embeddings": 16384,
|
| 14 |
+
"model_type": "mistral",
|
| 15 |
+
"num_attention_heads": 32,
|
| 16 |
+
"num_hidden_layers": 24,
|
| 17 |
+
"num_key_value_heads": 8,
|
| 18 |
+
"pretraining_tp": 1,
|
| 19 |
+
"rms_norm_eps": 1e-05,
|
| 20 |
+
"rope_scaling": null,
|
| 21 |
+
"rope_theta": 10000.0,
|
| 22 |
+
"sliding_window": 4096,
|
| 23 |
+
"tie_word_embeddings": false,
|
| 24 |
+
"torch_dtype": "bfloat16",
|
| 25 |
+
"transformers_version": "4.40.1",
|
| 26 |
+
"use_cache": true,
|
| 27 |
+
"vocab_size": 32000
|
| 28 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 0.9997807498355624,
|
| 3 |
+
"eval_loss": 1.089297890663147,
|
| 4 |
+
"eval_runtime": 2019.9951,
|
| 5 |
+
"eval_samples": 23109,
|
| 6 |
+
"eval_samples_per_second": 7.996,
|
| 7 |
+
"eval_steps_per_second": 7.996
|
| 8 |
+
}
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "</s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": "</s>",
|
| 17 |
+
"unk_token": {
|
| 18 |
+
"content": "<unk>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
}
|
| 24 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
| 3 |
+
size 499723
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"0": {
|
| 6 |
+
"content": "<unk>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"1": {
|
| 14 |
+
"content": "<s>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"2": {
|
| 22 |
+
"content": "</s>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
}
|
| 29 |
+
},
|
| 30 |
+
"bos_token": "<s>",
|
| 31 |
+
"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
|
| 32 |
+
"clean_up_tokenization_spaces": false,
|
| 33 |
+
"eos_token": "</s>",
|
| 34 |
+
"legacy": false,
|
| 35 |
+
"model_max_length": 2048,
|
| 36 |
+
"pad_token": "</s>",
|
| 37 |
+
"padding_side": "right",
|
| 38 |
+
"sp_model_kwargs": {},
|
| 39 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 40 |
+
"unk_token": "<unk>",
|
| 41 |
+
"use_default_system_prompt": false
|
| 42 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 0.9997807498355624,
|
| 3 |
+
"total_flos": 3.167597749864497e+18,
|
| 4 |
+
"train_loss": 0.80264539467661,
|
| 5 |
+
"train_runtime": 53655.2232,
|
| 6 |
+
"train_samples": 207864,
|
| 7 |
+
"train_samples_per_second": 2.72,
|
| 8 |
+
"train_steps_per_second": 0.021
|
| 9 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1641 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.9997807498355624,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 1140,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.0008770006577504934,
|
| 13 |
+
"grad_norm": 0.1337890625,
|
| 14 |
+
"learning_rate": 1.7543859649122807e-06,
|
| 15 |
+
"loss": 1.3755,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.0043850032887524665,
|
| 20 |
+
"grad_norm": 0.11865234375,
|
| 21 |
+
"learning_rate": 8.771929824561403e-06,
|
| 22 |
+
"loss": 1.37,
|
| 23 |
+
"step": 5
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.008770006577504933,
|
| 27 |
+
"grad_norm": 0.12060546875,
|
| 28 |
+
"learning_rate": 1.7543859649122806e-05,
|
| 29 |
+
"loss": 1.3508,
|
| 30 |
+
"step": 10
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.0131550098662574,
|
| 34 |
+
"grad_norm": 0.1259765625,
|
| 35 |
+
"learning_rate": 2.6315789473684212e-05,
|
| 36 |
+
"loss": 1.3572,
|
| 37 |
+
"step": 15
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.017540013155009866,
|
| 41 |
+
"grad_norm": 0.1162109375,
|
| 42 |
+
"learning_rate": 3.508771929824561e-05,
|
| 43 |
+
"loss": 1.3438,
|
| 44 |
+
"step": 20
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.021925016443762334,
|
| 48 |
+
"grad_norm": 0.10986328125,
|
| 49 |
+
"learning_rate": 4.3859649122807014e-05,
|
| 50 |
+
"loss": 1.3356,
|
| 51 |
+
"step": 25
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.0263100197325148,
|
| 55 |
+
"grad_norm": 0.09814453125,
|
| 56 |
+
"learning_rate": 5.2631578947368424e-05,
|
| 57 |
+
"loss": 1.3111,
|
| 58 |
+
"step": 30
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.030695023021267268,
|
| 62 |
+
"grad_norm": 0.095703125,
|
| 63 |
+
"learning_rate": 6.140350877192983e-05,
|
| 64 |
+
"loss": 1.2578,
|
| 65 |
+
"step": 35
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.03508002631001973,
|
| 69 |
+
"grad_norm": 0.07421875,
|
| 70 |
+
"learning_rate": 7.017543859649122e-05,
|
| 71 |
+
"loss": 1.2393,
|
| 72 |
+
"step": 40
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.0394650295987722,
|
| 76 |
+
"grad_norm": 0.064453125,
|
| 77 |
+
"learning_rate": 7.894736842105263e-05,
|
| 78 |
+
"loss": 1.2206,
|
| 79 |
+
"step": 45
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.04385003288752467,
|
| 83 |
+
"grad_norm": 0.049072265625,
|
| 84 |
+
"learning_rate": 8.771929824561403e-05,
|
| 85 |
+
"loss": 1.1976,
|
| 86 |
+
"step": 50
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.048235036176277134,
|
| 90 |
+
"grad_norm": 0.044921875,
|
| 91 |
+
"learning_rate": 9.649122807017544e-05,
|
| 92 |
+
"loss": 1.1976,
|
| 93 |
+
"step": 55
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.0526200394650296,
|
| 97 |
+
"grad_norm": 0.042724609375,
|
| 98 |
+
"learning_rate": 0.00010526315789473685,
|
| 99 |
+
"loss": 1.1789,
|
| 100 |
+
"step": 60
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.05700504275378206,
|
| 104 |
+
"grad_norm": 0.042236328125,
|
| 105 |
+
"learning_rate": 0.00011403508771929824,
|
| 106 |
+
"loss": 1.1716,
|
| 107 |
+
"step": 65
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.061390046042534535,
|
| 111 |
+
"grad_norm": 0.044677734375,
|
| 112 |
+
"learning_rate": 0.00012280701754385965,
|
| 113 |
+
"loss": 1.1691,
|
| 114 |
+
"step": 70
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.065775049331287,
|
| 118 |
+
"grad_norm": 0.03857421875,
|
| 119 |
+
"learning_rate": 0.00013157894736842108,
|
| 120 |
+
"loss": 1.1533,
|
| 121 |
+
"step": 75
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.07016005262003946,
|
| 125 |
+
"grad_norm": 0.041748046875,
|
| 126 |
+
"learning_rate": 0.00014035087719298245,
|
| 127 |
+
"loss": 1.1353,
|
| 128 |
+
"step": 80
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.07454505590879193,
|
| 132 |
+
"grad_norm": 0.04833984375,
|
| 133 |
+
"learning_rate": 0.00014912280701754387,
|
| 134 |
+
"loss": 1.1404,
|
| 135 |
+
"step": 85
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.0789300591975444,
|
| 139 |
+
"grad_norm": 0.046142578125,
|
| 140 |
+
"learning_rate": 0.00015789473684210527,
|
| 141 |
+
"loss": 1.1498,
|
| 142 |
+
"step": 90
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.08331506248629686,
|
| 146 |
+
"grad_norm": 0.04443359375,
|
| 147 |
+
"learning_rate": 0.0001666666666666667,
|
| 148 |
+
"loss": 1.1125,
|
| 149 |
+
"step": 95
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.08770006577504934,
|
| 153 |
+
"grad_norm": 0.049560546875,
|
| 154 |
+
"learning_rate": 0.00017543859649122806,
|
| 155 |
+
"loss": 1.1447,
|
| 156 |
+
"step": 100
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.0920850690638018,
|
| 160 |
+
"grad_norm": 0.05712890625,
|
| 161 |
+
"learning_rate": 0.00018421052631578948,
|
| 162 |
+
"loss": 1.1351,
|
| 163 |
+
"step": 105
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.09647007235255427,
|
| 167 |
+
"grad_norm": 0.04931640625,
|
| 168 |
+
"learning_rate": 0.00019298245614035088,
|
| 169 |
+
"loss": 1.1294,
|
| 170 |
+
"step": 110
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.10085507564130673,
|
| 174 |
+
"grad_norm": 0.05029296875,
|
| 175 |
+
"learning_rate": 0.00019999953121394002,
|
| 176 |
+
"loss": 1.1315,
|
| 177 |
+
"step": 115
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.1052400789300592,
|
| 181 |
+
"grad_norm": 0.060546875,
|
| 182 |
+
"learning_rate": 0.00019998312416333227,
|
| 183 |
+
"loss": 1.1284,
|
| 184 |
+
"step": 120
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.10962508221881166,
|
| 188 |
+
"grad_norm": 0.04931640625,
|
| 189 |
+
"learning_rate": 0.00019994328220474688,
|
| 190 |
+
"loss": 1.136,
|
| 191 |
+
"step": 125
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.11401008550756413,
|
| 195 |
+
"grad_norm": 0.052001953125,
|
| 196 |
+
"learning_rate": 0.0001998800146766861,
|
| 197 |
+
"loss": 1.1213,
|
| 198 |
+
"step": 130
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.11839508879631659,
|
| 202 |
+
"grad_norm": 0.064453125,
|
| 203 |
+
"learning_rate": 0.00019979333640833947,
|
| 204 |
+
"loss": 1.1152,
|
| 205 |
+
"step": 135
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.12278009208506907,
|
| 209 |
+
"grad_norm": 0.051513671875,
|
| 210 |
+
"learning_rate": 0.00019968326771610797,
|
| 211 |
+
"loss": 1.1193,
|
| 212 |
+
"step": 140
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.12716509537382154,
|
| 216 |
+
"grad_norm": 0.05126953125,
|
| 217 |
+
"learning_rate": 0.0001995498343988421,
|
| 218 |
+
"loss": 1.121,
|
| 219 |
+
"step": 145
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.131550098662574,
|
| 223 |
+
"grad_norm": 0.055419921875,
|
| 224 |
+
"learning_rate": 0.00019939306773179497,
|
| 225 |
+
"loss": 1.1291,
|
| 226 |
+
"step": 150
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.13593510195132646,
|
| 230 |
+
"grad_norm": 0.04736328125,
|
| 231 |
+
"learning_rate": 0.0001992130044592916,
|
| 232 |
+
"loss": 1.122,
|
| 233 |
+
"step": 155
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.14032010524007893,
|
| 237 |
+
"grad_norm": 0.05078125,
|
| 238 |
+
"learning_rate": 0.00019900968678611666,
|
| 239 |
+
"loss": 1.1174,
|
| 240 |
+
"step": 160
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.1447051085288314,
|
| 244 |
+
"grad_norm": 0.06298828125,
|
| 245 |
+
"learning_rate": 0.00019878316236762196,
|
| 246 |
+
"loss": 1.1205,
|
| 247 |
+
"step": 165
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.14909011181758386,
|
| 251 |
+
"grad_norm": 0.05615234375,
|
| 252 |
+
"learning_rate": 0.00019853348429855672,
|
| 253 |
+
"loss": 1.1086,
|
| 254 |
+
"step": 170
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.15347511510633632,
|
| 258 |
+
"grad_norm": 0.053955078125,
|
| 259 |
+
"learning_rate": 0.0001982607111006227,
|
| 260 |
+
"loss": 1.1086,
|
| 261 |
+
"step": 175
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.1578601183950888,
|
| 265 |
+
"grad_norm": 0.052978515625,
|
| 266 |
+
"learning_rate": 0.0001979649067087574,
|
| 267 |
+
"loss": 1.1202,
|
| 268 |
+
"step": 180
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.16224512168384125,
|
| 272 |
+
"grad_norm": 0.0517578125,
|
| 273 |
+
"learning_rate": 0.00019764614045614836,
|
| 274 |
+
"loss": 1.1248,
|
| 275 |
+
"step": 185
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.16663012497259372,
|
| 279 |
+
"grad_norm": 0.05615234375,
|
| 280 |
+
"learning_rate": 0.00019730448705798239,
|
| 281 |
+
"loss": 1.1231,
|
| 282 |
+
"step": 190
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.17101512826134618,
|
| 286 |
+
"grad_norm": 0.05810546875,
|
| 287 |
+
"learning_rate": 0.00019694002659393305,
|
| 288 |
+
"loss": 1.102,
|
| 289 |
+
"step": 195
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.17540013155009868,
|
| 293 |
+
"grad_norm": 0.056396484375,
|
| 294 |
+
"learning_rate": 0.00019655284448939094,
|
| 295 |
+
"loss": 1.1203,
|
| 296 |
+
"step": 200
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.17978513483885114,
|
| 300 |
+
"grad_norm": 0.054931640625,
|
| 301 |
+
"learning_rate": 0.00019614303149544102,
|
| 302 |
+
"loss": 1.1073,
|
| 303 |
+
"step": 205
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.1841701381276036,
|
| 307 |
+
"grad_norm": 0.05029296875,
|
| 308 |
+
"learning_rate": 0.00019571068366759143,
|
| 309 |
+
"loss": 1.1082,
|
| 310 |
+
"step": 210
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.18855514141635607,
|
| 314 |
+
"grad_norm": 0.054443359375,
|
| 315 |
+
"learning_rate": 0.00019525590234325933,
|
| 316 |
+
"loss": 1.1114,
|
| 317 |
+
"step": 215
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.19294014470510853,
|
| 321 |
+
"grad_norm": 0.0576171875,
|
| 322 |
+
"learning_rate": 0.00019477879411801844,
|
| 323 |
+
"loss": 1.1007,
|
| 324 |
+
"step": 220
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.197325147993861,
|
| 328 |
+
"grad_norm": 0.051513671875,
|
| 329 |
+
"learning_rate": 0.00019427947082061432,
|
| 330 |
+
"loss": 1.0978,
|
| 331 |
+
"step": 225
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.20171015128261346,
|
| 335 |
+
"grad_norm": 0.05419921875,
|
| 336 |
+
"learning_rate": 0.00019375804948675306,
|
| 337 |
+
"loss": 1.0876,
|
| 338 |
+
"step": 230
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.20609515457136593,
|
| 342 |
+
"grad_norm": 0.050537109375,
|
| 343 |
+
"learning_rate": 0.00019321465233166924,
|
| 344 |
+
"loss": 1.1182,
|
| 345 |
+
"step": 235
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.2104801578601184,
|
| 349 |
+
"grad_norm": 0.05224609375,
|
| 350 |
+
"learning_rate": 0.00019264940672148018,
|
| 351 |
+
"loss": 1.0853,
|
| 352 |
+
"step": 240
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.21486516114887086,
|
| 356 |
+
"grad_norm": 0.05224609375,
|
| 357 |
+
"learning_rate": 0.00019206244514333282,
|
| 358 |
+
"loss": 1.1151,
|
| 359 |
+
"step": 245
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.21925016443762332,
|
| 363 |
+
"grad_norm": 0.050537109375,
|
| 364 |
+
"learning_rate": 0.00019145390517435012,
|
| 365 |
+
"loss": 1.111,
|
| 366 |
+
"step": 250
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.2236351677263758,
|
| 370 |
+
"grad_norm": 0.048828125,
|
| 371 |
+
"learning_rate": 0.00019082392944938466,
|
| 372 |
+
"loss": 1.1262,
|
| 373 |
+
"step": 255
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.22802017101512825,
|
| 377 |
+
"grad_norm": 0.046875,
|
| 378 |
+
"learning_rate": 0.00019017266562758659,
|
| 379 |
+
"loss": 1.1036,
|
| 380 |
+
"step": 260
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.23240517430388072,
|
| 384 |
+
"grad_norm": 0.048095703125,
|
| 385 |
+
"learning_rate": 0.00018950026635779397,
|
| 386 |
+
"loss": 1.1162,
|
| 387 |
+
"step": 265
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.23679017759263318,
|
| 391 |
+
"grad_norm": 0.049560546875,
|
| 392 |
+
"learning_rate": 0.00018880688924275378,
|
| 393 |
+
"loss": 1.102,
|
| 394 |
+
"step": 270
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.24117518088138565,
|
| 398 |
+
"grad_norm": 0.05419921875,
|
| 399 |
+
"learning_rate": 0.00018809269680218136,
|
| 400 |
+
"loss": 1.1,
|
| 401 |
+
"step": 275
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.24556018417013814,
|
| 405 |
+
"grad_norm": 0.050537109375,
|
| 406 |
+
"learning_rate": 0.00018735785643466784,
|
| 407 |
+
"loss": 1.1037,
|
| 408 |
+
"step": 280
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.2499451874588906,
|
| 412 |
+
"grad_norm": 0.04931640625,
|
| 413 |
+
"learning_rate": 0.00018660254037844388,
|
| 414 |
+
"loss": 1.0826,
|
| 415 |
+
"step": 285
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.25433019074764307,
|
| 419 |
+
"grad_norm": 0.053466796875,
|
| 420 |
+
"learning_rate": 0.00018582692567100867,
|
| 421 |
+
"loss": 1.1046,
|
| 422 |
+
"step": 290
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.25871519403639553,
|
| 426 |
+
"grad_norm": 0.05859375,
|
| 427 |
+
"learning_rate": 0.0001850311941076346,
|
| 428 |
+
"loss": 1.082,
|
| 429 |
+
"step": 295
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.263100197325148,
|
| 433 |
+
"grad_norm": 0.053955078125,
|
| 434 |
+
"learning_rate": 0.00018421553219875658,
|
| 435 |
+
"loss": 1.0945,
|
| 436 |
+
"step": 300
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 0.26748520061390046,
|
| 440 |
+
"grad_norm": 0.053955078125,
|
| 441 |
+
"learning_rate": 0.00018338013112625587,
|
| 442 |
+
"loss": 1.0985,
|
| 443 |
+
"step": 305
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.27187020390265293,
|
| 447 |
+
"grad_norm": 0.051513671875,
|
| 448 |
+
"learning_rate": 0.00018252518669864936,
|
| 449 |
+
"loss": 1.1186,
|
| 450 |
+
"step": 310
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.2762552071914054,
|
| 454 |
+
"grad_norm": 0.0625,
|
| 455 |
+
"learning_rate": 0.0001816508993051943,
|
| 456 |
+
"loss": 1.1253,
|
| 457 |
+
"step": 315
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 0.28064021048015786,
|
| 461 |
+
"grad_norm": 0.05224609375,
|
| 462 |
+
"learning_rate": 0.0001807574738689193,
|
| 463 |
+
"loss": 1.0904,
|
| 464 |
+
"step": 320
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 0.2850252137689103,
|
| 468 |
+
"grad_norm": 0.0498046875,
|
| 469 |
+
"learning_rate": 0.00017984511979859263,
|
| 470 |
+
"loss": 1.109,
|
| 471 |
+
"step": 325
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 0.2894102170576628,
|
| 475 |
+
"grad_norm": 0.051513671875,
|
| 476 |
+
"learning_rate": 0.00017891405093963938,
|
| 477 |
+
"loss": 1.1041,
|
| 478 |
+
"step": 330
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 0.29379522034641525,
|
| 482 |
+
"grad_norm": 0.052734375,
|
| 483 |
+
"learning_rate": 0.00017796448552401825,
|
| 484 |
+
"loss": 1.0927,
|
| 485 |
+
"step": 335
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 0.2981802236351677,
|
| 489 |
+
"grad_norm": 0.04931640625,
|
| 490 |
+
"learning_rate": 0.00017699664611907072,
|
| 491 |
+
"loss": 1.1041,
|
| 492 |
+
"step": 340
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 0.3025652269239202,
|
| 496 |
+
"grad_norm": 0.0537109375,
|
| 497 |
+
"learning_rate": 0.00017601075957535364,
|
| 498 |
+
"loss": 1.1115,
|
| 499 |
+
"step": 345
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 0.30695023021267265,
|
| 503 |
+
"grad_norm": 0.047119140625,
|
| 504 |
+
"learning_rate": 0.0001750070569734681,
|
| 505 |
+
"loss": 1.1088,
|
| 506 |
+
"step": 350
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.3113352335014251,
|
| 510 |
+
"grad_norm": 0.048583984375,
|
| 511 |
+
"learning_rate": 0.00017398577356989665,
|
| 512 |
+
"loss": 1.0905,
|
| 513 |
+
"step": 355
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.3157202367901776,
|
| 517 |
+
"grad_norm": 0.04638671875,
|
| 518 |
+
"learning_rate": 0.0001729471487418621,
|
| 519 |
+
"loss": 1.1071,
|
| 520 |
+
"step": 360
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 0.32010524007893004,
|
| 524 |
+
"grad_norm": 0.052734375,
|
| 525 |
+
"learning_rate": 0.00017189142593121993,
|
| 526 |
+
"loss": 1.0872,
|
| 527 |
+
"step": 365
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 0.3244902433676825,
|
| 531 |
+
"grad_norm": 0.0478515625,
|
| 532 |
+
"learning_rate": 0.00017081885258739846,
|
| 533 |
+
"loss": 1.1054,
|
| 534 |
+
"step": 370
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 0.32887524665643497,
|
| 538 |
+
"grad_norm": 0.049072265625,
|
| 539 |
+
"learning_rate": 0.00016972968010939954,
|
| 540 |
+
"loss": 1.1035,
|
| 541 |
+
"step": 375
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 0.33326024994518744,
|
| 545 |
+
"grad_norm": 0.05126953125,
|
| 546 |
+
"learning_rate": 0.0001686241637868734,
|
| 547 |
+
"loss": 1.0976,
|
| 548 |
+
"step": 380
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 0.3376452532339399,
|
| 552 |
+
"grad_norm": 0.05126953125,
|
| 553 |
+
"learning_rate": 0.00016750256274028152,
|
| 554 |
+
"loss": 1.099,
|
| 555 |
+
"step": 385
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 0.34203025652269237,
|
| 559 |
+
"grad_norm": 0.050048828125,
|
| 560 |
+
"learning_rate": 0.00016636513986016213,
|
| 561 |
+
"loss": 1.1267,
|
| 562 |
+
"step": 390
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 0.34641525981144483,
|
| 566 |
+
"grad_norm": 0.05224609375,
|
| 567 |
+
"learning_rate": 0.0001652121617455113,
|
| 568 |
+
"loss": 1.101,
|
| 569 |
+
"step": 395
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 0.35080026310019735,
|
| 573 |
+
"grad_norm": 0.050048828125,
|
| 574 |
+
"learning_rate": 0.00016404389864129533,
|
| 575 |
+
"loss": 1.1005,
|
| 576 |
+
"step": 400
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 0.3551852663889498,
|
| 580 |
+
"grad_norm": 0.049072265625,
|
| 581 |
+
"learning_rate": 0.0001628606243751082,
|
| 582 |
+
"loss": 1.0973,
|
| 583 |
+
"step": 405
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 0.3595702696777023,
|
| 587 |
+
"grad_norm": 0.04931640625,
|
| 588 |
+
"learning_rate": 0.00016166261629298995,
|
| 589 |
+
"loss": 1.1016,
|
| 590 |
+
"step": 410
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 0.36395527296645475,
|
| 594 |
+
"grad_norm": 0.05517578125,
|
| 595 |
+
"learning_rate": 0.0001604501551944193,
|
| 596 |
+
"loss": 1.0863,
|
| 597 |
+
"step": 415
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 0.3683402762552072,
|
| 601 |
+
"grad_norm": 0.05517578125,
|
| 602 |
+
"learning_rate": 0.00015922352526649803,
|
| 603 |
+
"loss": 1.1008,
|
| 604 |
+
"step": 420
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 0.3727252795439597,
|
| 608 |
+
"grad_norm": 0.05517578125,
|
| 609 |
+
"learning_rate": 0.0001579830140173403,
|
| 610 |
+
"loss": 1.0999,
|
| 611 |
+
"step": 425
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 0.37711028283271214,
|
| 615 |
+
"grad_norm": 0.049072265625,
|
| 616 |
+
"learning_rate": 0.00015672891220868432,
|
| 617 |
+
"loss": 1.0944,
|
| 618 |
+
"step": 430
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 0.3814952861214646,
|
| 622 |
+
"grad_norm": 0.048095703125,
|
| 623 |
+
"learning_rate": 0.00015546151378774086,
|
| 624 |
+
"loss": 1.084,
|
| 625 |
+
"step": 435
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 0.38588028941021707,
|
| 629 |
+
"grad_norm": 0.049560546875,
|
| 630 |
+
"learning_rate": 0.00015418111581829574,
|
| 631 |
+
"loss": 1.0957,
|
| 632 |
+
"step": 440
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 0.39026529269896953,
|
| 636 |
+
"grad_norm": 0.047607421875,
|
| 637 |
+
"learning_rate": 0.00015288801841108093,
|
| 638 |
+
"loss": 1.0823,
|
| 639 |
+
"step": 445
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 0.394650295987722,
|
| 643 |
+
"grad_norm": 0.051025390625,
|
| 644 |
+
"learning_rate": 0.00015158252465343242,
|
| 645 |
+
"loss": 1.0925,
|
| 646 |
+
"step": 450
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 0.39903529927647446,
|
| 650 |
+
"grad_norm": 0.05029296875,
|
| 651 |
+
"learning_rate": 0.00015026494053824982,
|
| 652 |
+
"loss": 1.0917,
|
| 653 |
+
"step": 455
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 0.40342030256522693,
|
| 657 |
+
"grad_norm": 0.05029296875,
|
| 658 |
+
"learning_rate": 0.00014893557489227517,
|
| 659 |
+
"loss": 1.0935,
|
| 660 |
+
"step": 460
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 0.4078053058539794,
|
| 664 |
+
"grad_norm": 0.048095703125,
|
| 665 |
+
"learning_rate": 0.00014759473930370736,
|
| 666 |
+
"loss": 1.0795,
|
| 667 |
+
"step": 465
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 0.41219030914273186,
|
| 671 |
+
"grad_norm": 0.051025390625,
|
| 672 |
+
"learning_rate": 0.00014624274804916958,
|
| 673 |
+
"loss": 1.0943,
|
| 674 |
+
"step": 470
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 0.4165753124314843,
|
| 678 |
+
"grad_norm": 0.05322265625,
|
| 679 |
+
"learning_rate": 0.00014487991802004623,
|
| 680 |
+
"loss": 1.1022,
|
| 681 |
+
"step": 475
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 0.4209603157202368,
|
| 685 |
+
"grad_norm": 0.055419921875,
|
| 686 |
+
"learning_rate": 0.00014350656864820733,
|
| 687 |
+
"loss": 1.0849,
|
| 688 |
+
"step": 480
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 0.42534531900898925,
|
| 692 |
+
"grad_norm": 0.05224609375,
|
| 693 |
+
"learning_rate": 0.00014212302183113732,
|
| 694 |
+
"loss": 1.0865,
|
| 695 |
+
"step": 485
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 0.4297303222977417,
|
| 699 |
+
"grad_norm": 0.05224609375,
|
| 700 |
+
"learning_rate": 0.00014072960185648577,
|
| 701 |
+
"loss": 1.106,
|
| 702 |
+
"step": 490
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 0.4341153255864942,
|
| 706 |
+
"grad_norm": 0.04736328125,
|
| 707 |
+
"learning_rate": 0.0001393266353260583,
|
| 708 |
+
"loss": 1.0926,
|
| 709 |
+
"step": 495
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 0.43850032887524665,
|
| 713 |
+
"grad_norm": 0.048583984375,
|
| 714 |
+
"learning_rate": 0.00013791445107926478,
|
| 715 |
+
"loss": 1.1091,
|
| 716 |
+
"step": 500
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 0.4428853321639991,
|
| 720 |
+
"grad_norm": 0.0478515625,
|
| 721 |
+
"learning_rate": 0.0001364933801160428,
|
| 722 |
+
"loss": 1.0858,
|
| 723 |
+
"step": 505
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 0.4472703354527516,
|
| 727 |
+
"grad_norm": 0.048583984375,
|
| 728 |
+
"learning_rate": 0.00013506375551927547,
|
| 729 |
+
"loss": 1.0901,
|
| 730 |
+
"step": 510
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 0.45165533874150404,
|
| 734 |
+
"grad_norm": 0.0478515625,
|
| 735 |
+
"learning_rate": 0.0001336259123767203,
|
| 736 |
+
"loss": 1.0852,
|
| 737 |
+
"step": 515
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 0.4560403420302565,
|
| 741 |
+
"grad_norm": 0.050048828125,
|
| 742 |
+
"learning_rate": 0.00013218018770246858,
|
| 743 |
+
"loss": 1.0838,
|
| 744 |
+
"step": 520
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 0.46042534531900897,
|
| 748 |
+
"grad_norm": 0.052490234375,
|
| 749 |
+
"learning_rate": 0.00013072692035795305,
|
| 750 |
+
"loss": 1.0795,
|
| 751 |
+
"step": 525
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 0.46481034860776144,
|
| 755 |
+
"grad_norm": 0.048828125,
|
| 756 |
+
"learning_rate": 0.0001292664509725226,
|
| 757 |
+
"loss": 1.1038,
|
| 758 |
+
"step": 530
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 0.4691953518965139,
|
| 762 |
+
"grad_norm": 0.051513671875,
|
| 763 |
+
"learning_rate": 0.00012779912186360268,
|
| 764 |
+
"loss": 1.0937,
|
| 765 |
+
"step": 535
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 0.47358035518526637,
|
| 769 |
+
"grad_norm": 0.05126953125,
|
| 770 |
+
"learning_rate": 0.00012632527695645993,
|
| 771 |
+
"loss": 1.08,
|
| 772 |
+
"step": 540
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"epoch": 0.47796535847401883,
|
| 776 |
+
"grad_norm": 0.0498046875,
|
| 777 |
+
"learning_rate": 0.00012484526170359012,
|
| 778 |
+
"loss": 1.0642,
|
| 779 |
+
"step": 545
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 0.4823503617627713,
|
| 783 |
+
"grad_norm": 0.051513671875,
|
| 784 |
+
"learning_rate": 0.00012335942300374788,
|
| 785 |
+
"loss": 1.089,
|
| 786 |
+
"step": 550
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 0.4867353650515238,
|
| 790 |
+
"grad_norm": 0.05126953125,
|
| 791 |
+
"learning_rate": 0.0001218681091206376,
|
| 792 |
+
"loss": 1.0893,
|
| 793 |
+
"step": 555
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 0.4911203683402763,
|
| 797 |
+
"grad_norm": 0.049560546875,
|
| 798 |
+
"learning_rate": 0.00012037166960128443,
|
| 799 |
+
"loss": 1.0996,
|
| 800 |
+
"step": 560
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 0.49550537162902875,
|
| 804 |
+
"grad_norm": 0.04736328125,
|
| 805 |
+
"learning_rate": 0.00011887045519410442,
|
| 806 |
+
"loss": 1.0955,
|
| 807 |
+
"step": 565
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 0.4998903749177812,
|
| 811 |
+
"grad_norm": 0.050537109375,
|
| 812 |
+
"learning_rate": 0.00011736481776669306,
|
| 813 |
+
"loss": 1.0904,
|
| 814 |
+
"step": 570
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 0.5042753782065337,
|
| 818 |
+
"grad_norm": 0.04833984375,
|
| 819 |
+
"learning_rate": 0.00011585511022335142,
|
| 820 |
+
"loss": 1.1074,
|
| 821 |
+
"step": 575
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 0.5086603814952861,
|
| 825 |
+
"grad_norm": 0.0498046875,
|
| 826 |
+
"learning_rate": 0.00011434168642236964,
|
| 827 |
+
"loss": 1.0855,
|
| 828 |
+
"step": 580
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 0.5130453847840386,
|
| 832 |
+
"grad_norm": 0.052734375,
|
| 833 |
+
"learning_rate": 0.00011282490109308633,
|
| 834 |
+
"loss": 1.0872,
|
| 835 |
+
"step": 585
|
| 836 |
+
},
|
| 837 |
+
{
|
| 838 |
+
"epoch": 0.5174303880727911,
|
| 839 |
+
"grad_norm": 0.050048828125,
|
| 840 |
+
"learning_rate": 0.00011130510975274409,
|
| 841 |
+
"loss": 1.0824,
|
| 842 |
+
"step": 590
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 0.5218153913615435,
|
| 846 |
+
"grad_norm": 0.049072265625,
|
| 847 |
+
"learning_rate": 0.0001097826686231604,
|
| 848 |
+
"loss": 1.1002,
|
| 849 |
+
"step": 595
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 0.526200394650296,
|
| 853 |
+
"grad_norm": 0.050048828125,
|
| 854 |
+
"learning_rate": 0.00010825793454723325,
|
| 855 |
+
"loss": 1.083,
|
| 856 |
+
"step": 600
|
| 857 |
+
},
|
| 858 |
+
{
|
| 859 |
+
"epoch": 0.5305853979390485,
|
| 860 |
+
"grad_norm": 0.05126953125,
|
| 861 |
+
"learning_rate": 0.00010673126490530112,
|
| 862 |
+
"loss": 1.1003,
|
| 863 |
+
"step": 605
|
| 864 |
+
},
|
| 865 |
+
{
|
| 866 |
+
"epoch": 0.5349704012278009,
|
| 867 |
+
"grad_norm": 0.049072265625,
|
| 868 |
+
"learning_rate": 0.00010520301753137724,
|
| 869 |
+
"loss": 1.0852,
|
| 870 |
+
"step": 610
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 0.5393554045165534,
|
| 874 |
+
"grad_norm": 0.050048828125,
|
| 875 |
+
"learning_rate": 0.00010367355062927726,
|
| 876 |
+
"loss": 1.0904,
|
| 877 |
+
"step": 615
|
| 878 |
+
},
|
| 879 |
+
{
|
| 880 |
+
"epoch": 0.5437404078053059,
|
| 881 |
+
"grad_norm": 0.050048828125,
|
| 882 |
+
"learning_rate": 0.00010214322268866032,
|
| 883 |
+
"loss": 1.0839,
|
| 884 |
+
"step": 620
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 0.5481254110940583,
|
| 888 |
+
"grad_norm": 0.053466796875,
|
| 889 |
+
"learning_rate": 0.00010061239240100327,
|
| 890 |
+
"loss": 1.079,
|
| 891 |
+
"step": 625
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 0.5525104143828108,
|
| 895 |
+
"grad_norm": 0.048583984375,
|
| 896 |
+
"learning_rate": 9.908141857552737e-05,
|
| 897 |
+
"loss": 1.0987,
|
| 898 |
+
"step": 630
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 0.5568954176715633,
|
| 902 |
+
"grad_norm": 0.04833984375,
|
| 903 |
+
"learning_rate": 9.755066005509753e-05,
|
| 904 |
+
"loss": 1.075,
|
| 905 |
+
"step": 635
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 0.5612804209603157,
|
| 909 |
+
"grad_norm": 0.04931640625,
|
| 910 |
+
"learning_rate": 9.602047563211359e-05,
|
| 911 |
+
"loss": 1.0803,
|
| 912 |
+
"step": 640
|
| 913 |
+
},
|
| 914 |
+
{
|
| 915 |
+
"epoch": 0.5656654242490682,
|
| 916 |
+
"grad_norm": 0.053466796875,
|
| 917 |
+
"learning_rate": 9.449122396441345e-05,
|
| 918 |
+
"loss": 1.1114,
|
| 919 |
+
"step": 645
|
| 920 |
+
},
|
| 921 |
+
{
|
| 922 |
+
"epoch": 0.5700504275378206,
|
| 923 |
+
"grad_norm": 0.048828125,
|
| 924 |
+
"learning_rate": 9.296326349120785e-05,
|
| 925 |
+
"loss": 1.0771,
|
| 926 |
+
"step": 650
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 0.5744354308265731,
|
| 930 |
+
"grad_norm": 0.049560546875,
|
| 931 |
+
"learning_rate": 9.143695234906611e-05,
|
| 932 |
+
"loss": 1.0917,
|
| 933 |
+
"step": 655
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 0.5788204341153256,
|
| 937 |
+
"grad_norm": 0.049072265625,
|
| 938 |
+
"learning_rate": 8.991264828797319e-05,
|
| 939 |
+
"loss": 1.0843,
|
| 940 |
+
"step": 660
|
| 941 |
+
},
|
| 942 |
+
{
|
| 943 |
+
"epoch": 0.583205437404078,
|
| 944 |
+
"grad_norm": 0.0498046875,
|
| 945 |
+
"learning_rate": 8.839070858747697e-05,
|
| 946 |
+
"loss": 1.0863,
|
| 947 |
+
"step": 665
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 0.5875904406928305,
|
| 951 |
+
"grad_norm": 0.0517578125,
|
| 952 |
+
"learning_rate": 8.687148997294621e-05,
|
| 953 |
+
"loss": 1.086,
|
| 954 |
+
"step": 670
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 0.591975443981583,
|
| 958 |
+
"grad_norm": 0.05029296875,
|
| 959 |
+
"learning_rate": 8.535534853195786e-05,
|
| 960 |
+
"loss": 1.08,
|
| 961 |
+
"step": 675
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"epoch": 0.5963604472703354,
|
| 965 |
+
"grad_norm": 0.05126953125,
|
| 966 |
+
"learning_rate": 8.384263963083453e-05,
|
| 967 |
+
"loss": 1.0686,
|
| 968 |
+
"step": 680
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 0.6007454505590879,
|
| 972 |
+
"grad_norm": 0.051025390625,
|
| 973 |
+
"learning_rate": 8.23337178313504e-05,
|
| 974 |
+
"loss": 1.075,
|
| 975 |
+
"step": 685
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 0.6051304538478404,
|
| 979 |
+
"grad_norm": 0.052490234375,
|
| 980 |
+
"learning_rate": 8.082893680762619e-05,
|
| 981 |
+
"loss": 1.0926,
|
| 982 |
+
"step": 690
|
| 983 |
+
},
|
| 984 |
+
{
|
| 985 |
+
"epoch": 0.6095154571365928,
|
| 986 |
+
"grad_norm": 0.051025390625,
|
| 987 |
+
"learning_rate": 7.932864926323161e-05,
|
| 988 |
+
"loss": 1.079,
|
| 989 |
+
"step": 695
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 0.6139004604253453,
|
| 993 |
+
"grad_norm": 0.049072265625,
|
| 994 |
+
"learning_rate": 7.783320684851614e-05,
|
| 995 |
+
"loss": 1.0844,
|
| 996 |
+
"step": 700
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 0.6182854637140978,
|
| 1000 |
+
"grad_norm": 0.04833984375,
|
| 1001 |
+
"learning_rate": 7.634296007818576e-05,
|
| 1002 |
+
"loss": 1.1056,
|
| 1003 |
+
"step": 705
|
| 1004 |
+
},
|
| 1005 |
+
{
|
| 1006 |
+
"epoch": 0.6226704670028502,
|
| 1007 |
+
"grad_norm": 0.049560546875,
|
| 1008 |
+
"learning_rate": 7.485825824914659e-05,
|
| 1009 |
+
"loss": 1.0851,
|
| 1010 |
+
"step": 710
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 0.6270554702916027,
|
| 1014 |
+
"grad_norm": 0.048828125,
|
| 1015 |
+
"learning_rate": 7.337944935863333e-05,
|
| 1016 |
+
"loss": 1.0786,
|
| 1017 |
+
"step": 715
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 0.6314404735803552,
|
| 1021 |
+
"grad_norm": 0.050048828125,
|
| 1022 |
+
"learning_rate": 7.190688002264308e-05,
|
| 1023 |
+
"loss": 1.089,
|
| 1024 |
+
"step": 720
|
| 1025 |
+
},
|
| 1026 |
+
{
|
| 1027 |
+
"epoch": 0.6358254768691076,
|
| 1028 |
+
"grad_norm": 0.05126953125,
|
| 1029 |
+
"learning_rate": 7.044089539469212e-05,
|
| 1030 |
+
"loss": 1.0826,
|
| 1031 |
+
"step": 725
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"epoch": 0.6402104801578601,
|
| 1035 |
+
"grad_norm": 0.0517578125,
|
| 1036 |
+
"learning_rate": 6.898183908491617e-05,
|
| 1037 |
+
"loss": 1.1004,
|
| 1038 |
+
"step": 730
|
| 1039 |
+
},
|
| 1040 |
+
{
|
| 1041 |
+
"epoch": 0.6445954834466125,
|
| 1042 |
+
"grad_norm": 0.050537109375,
|
| 1043 |
+
"learning_rate": 6.753005307953167e-05,
|
| 1044 |
+
"loss": 1.0722,
|
| 1045 |
+
"step": 735
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 0.648980486735365,
|
| 1049 |
+
"grad_norm": 0.050048828125,
|
| 1050 |
+
"learning_rate": 6.608587766067852e-05,
|
| 1051 |
+
"loss": 1.0859,
|
| 1052 |
+
"step": 740
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 0.6533654900241175,
|
| 1056 |
+
"grad_norm": 0.050048828125,
|
| 1057 |
+
"learning_rate": 6.464965132666163e-05,
|
| 1058 |
+
"loss": 1.1088,
|
| 1059 |
+
"step": 745
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"epoch": 0.6577504933128699,
|
| 1063 |
+
"grad_norm": 0.049560546875,
|
| 1064 |
+
"learning_rate": 6.322171071261071e-05,
|
| 1065 |
+
"loss": 1.0726,
|
| 1066 |
+
"step": 750
|
| 1067 |
+
},
|
| 1068 |
+
{
|
| 1069 |
+
"epoch": 0.6621354966016224,
|
| 1070 |
+
"grad_norm": 0.049560546875,
|
| 1071 |
+
"learning_rate": 6.180239051157681e-05,
|
| 1072 |
+
"loss": 1.0897,
|
| 1073 |
+
"step": 755
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 0.6665204998903749,
|
| 1077 |
+
"grad_norm": 0.0478515625,
|
| 1078 |
+
"learning_rate": 6.039202339608432e-05,
|
| 1079 |
+
"loss": 1.0972,
|
| 1080 |
+
"step": 760
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 0.6709055031791273,
|
| 1084 |
+
"grad_norm": 0.049560546875,
|
| 1085 |
+
"learning_rate": 5.8990939940156e-05,
|
| 1086 |
+
"loss": 1.0884,
|
| 1087 |
+
"step": 765
|
| 1088 |
+
},
|
| 1089 |
+
{
|
| 1090 |
+
"epoch": 0.6752905064678798,
|
| 1091 |
+
"grad_norm": 0.04833984375,
|
| 1092 |
+
"learning_rate": 5.7599468541830356e-05,
|
| 1093 |
+
"loss": 1.086,
|
| 1094 |
+
"step": 770
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 0.6796755097566323,
|
| 1098 |
+
"grad_norm": 0.0478515625,
|
| 1099 |
+
"learning_rate": 5.62179353461888e-05,
|
| 1100 |
+
"loss": 1.0921,
|
| 1101 |
+
"step": 775
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"epoch": 0.6840605130453847,
|
| 1105 |
+
"grad_norm": 0.051025390625,
|
| 1106 |
+
"learning_rate": 5.484666416891109e-05,
|
| 1107 |
+
"loss": 1.0834,
|
| 1108 |
+
"step": 780
|
| 1109 |
+
},
|
| 1110 |
+
{
|
| 1111 |
+
"epoch": 0.6884455163341372,
|
| 1112 |
+
"grad_norm": 0.04833984375,
|
| 1113 |
+
"learning_rate": 5.3485976420376336e-05,
|
| 1114 |
+
"loss": 1.0827,
|
| 1115 |
+
"step": 785
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 0.6928305196228897,
|
| 1119 |
+
"grad_norm": 0.050048828125,
|
| 1120 |
+
"learning_rate": 5.2136191030328455e-05,
|
| 1121 |
+
"loss": 1.0851,
|
| 1122 |
+
"step": 790
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 0.6972155229116422,
|
| 1126 |
+
"grad_norm": 0.0517578125,
|
| 1127 |
+
"learning_rate": 5.079762437312219e-05,
|
| 1128 |
+
"loss": 1.0834,
|
| 1129 |
+
"step": 795
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 0.7016005262003947,
|
| 1133 |
+
"grad_norm": 0.048583984375,
|
| 1134 |
+
"learning_rate": 4.9470590193569044e-05,
|
| 1135 |
+
"loss": 1.1016,
|
| 1136 |
+
"step": 800
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 0.7059855294891472,
|
| 1140 |
+
"grad_norm": 0.049560546875,
|
| 1141 |
+
"learning_rate": 4.815539953339865e-05,
|
| 1142 |
+
"loss": 1.0686,
|
| 1143 |
+
"step": 805
|
| 1144 |
+
},
|
| 1145 |
+
{
|
| 1146 |
+
"epoch": 0.7103705327778996,
|
| 1147 |
+
"grad_norm": 0.047607421875,
|
| 1148 |
+
"learning_rate": 4.685236065835443e-05,
|
| 1149 |
+
"loss": 1.086,
|
| 1150 |
+
"step": 810
|
| 1151 |
+
},
|
| 1152 |
+
{
|
| 1153 |
+
"epoch": 0.7147555360666521,
|
| 1154 |
+
"grad_norm": 0.0498046875,
|
| 1155 |
+
"learning_rate": 4.5561778985939366e-05,
|
| 1156 |
+
"loss": 1.0817,
|
| 1157 |
+
"step": 815
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"epoch": 0.7191405393554046,
|
| 1161 |
+
"grad_norm": 0.048583984375,
|
| 1162 |
+
"learning_rate": 4.4283957013829846e-05,
|
| 1163 |
+
"loss": 1.0837,
|
| 1164 |
+
"step": 820
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"epoch": 0.723525542644157,
|
| 1168 |
+
"grad_norm": 0.0478515625,
|
| 1169 |
+
"learning_rate": 4.301919424897338e-05,
|
| 1170 |
+
"loss": 1.0791,
|
| 1171 |
+
"step": 825
|
| 1172 |
+
},
|
| 1173 |
+
{
|
| 1174 |
+
"epoch": 0.7279105459329095,
|
| 1175 |
+
"grad_norm": 0.0478515625,
|
| 1176 |
+
"learning_rate": 4.176778713738787e-05,
|
| 1177 |
+
"loss": 1.0865,
|
| 1178 |
+
"step": 830
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 0.732295549221662,
|
| 1182 |
+
"grad_norm": 0.048583984375,
|
| 1183 |
+
"learning_rate": 4.053002899467774e-05,
|
| 1184 |
+
"loss": 1.0842,
|
| 1185 |
+
"step": 835
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 0.7366805525104144,
|
| 1189 |
+
"grad_norm": 0.050048828125,
|
| 1190 |
+
"learning_rate": 3.9306209937284346e-05,
|
| 1191 |
+
"loss": 1.0939,
|
| 1192 |
+
"step": 840
|
| 1193 |
+
},
|
| 1194 |
+
{
|
| 1195 |
+
"epoch": 0.7410655557991669,
|
| 1196 |
+
"grad_norm": 0.048095703125,
|
| 1197 |
+
"learning_rate": 3.809661681448576e-05,
|
| 1198 |
+
"loss": 1.0941,
|
| 1199 |
+
"step": 845
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"epoch": 0.7454505590879194,
|
| 1203 |
+
"grad_norm": 0.048583984375,
|
| 1204 |
+
"learning_rate": 3.69015331411628e-05,
|
| 1205 |
+
"loss": 1.0664,
|
| 1206 |
+
"step": 850
|
| 1207 |
+
},
|
| 1208 |
+
{
|
| 1209 |
+
"epoch": 0.7498355623766718,
|
| 1210 |
+
"grad_norm": 0.05029296875,
|
| 1211 |
+
"learning_rate": 3.5721239031346066e-05,
|
| 1212 |
+
"loss": 1.0844,
|
| 1213 |
+
"step": 855
|
| 1214 |
+
},
|
| 1215 |
+
{
|
| 1216 |
+
"epoch": 0.7542205656654243,
|
| 1217 |
+
"grad_norm": 0.047607421875,
|
| 1218 |
+
"learning_rate": 3.455601113256073e-05,
|
| 1219 |
+
"loss": 1.1036,
|
| 1220 |
+
"step": 860
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"epoch": 0.7586055689541767,
|
| 1224 |
+
"grad_norm": 0.048828125,
|
| 1225 |
+
"learning_rate": 3.340612256098316e-05,
|
| 1226 |
+
"loss": 1.0641,
|
| 1227 |
+
"step": 865
|
| 1228 |
+
},
|
| 1229 |
+
{
|
| 1230 |
+
"epoch": 0.7629905722429292,
|
| 1231 |
+
"grad_norm": 0.04833984375,
|
| 1232 |
+
"learning_rate": 3.227184283742591e-05,
|
| 1233 |
+
"loss": 1.087,
|
| 1234 |
+
"step": 870
|
| 1235 |
+
},
|
| 1236 |
+
{
|
| 1237 |
+
"epoch": 0.7673755755316817,
|
| 1238 |
+
"grad_norm": 0.04833984375,
|
| 1239 |
+
"learning_rate": 3.115343782416483e-05,
|
| 1240 |
+
"loss": 1.0992,
|
| 1241 |
+
"step": 875
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 0.7717605788204341,
|
| 1245 |
+
"grad_norm": 0.047607421875,
|
| 1246 |
+
"learning_rate": 3.0051169662624225e-05,
|
| 1247 |
+
"loss": 1.0838,
|
| 1248 |
+
"step": 880
|
| 1249 |
+
},
|
| 1250 |
+
{
|
| 1251 |
+
"epoch": 0.7761455821091866,
|
| 1252 |
+
"grad_norm": 0.048583984375,
|
| 1253 |
+
"learning_rate": 2.89652967119336e-05,
|
| 1254 |
+
"loss": 1.0899,
|
| 1255 |
+
"step": 885
|
| 1256 |
+
},
|
| 1257 |
+
{
|
| 1258 |
+
"epoch": 0.7805305853979391,
|
| 1259 |
+
"grad_norm": 0.048583984375,
|
| 1260 |
+
"learning_rate": 2.789607348837153e-05,
|
| 1261 |
+
"loss": 1.0906,
|
| 1262 |
+
"step": 890
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 0.7849155886866915,
|
| 1266 |
+
"grad_norm": 0.04736328125,
|
| 1267 |
+
"learning_rate": 2.684375060570965e-05,
|
| 1268 |
+
"loss": 1.0897,
|
| 1269 |
+
"step": 895
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"epoch": 0.789300591975444,
|
| 1273 |
+
"grad_norm": 0.04736328125,
|
| 1274 |
+
"learning_rate": 2.5808574716471856e-05,
|
| 1275 |
+
"loss": 1.0857,
|
| 1276 |
+
"step": 900
|
| 1277 |
+
},
|
| 1278 |
+
{
|
| 1279 |
+
"epoch": 0.7936855952641965,
|
| 1280 |
+
"grad_norm": 0.050537109375,
|
| 1281 |
+
"learning_rate": 2.4790788454121584e-05,
|
| 1282 |
+
"loss": 1.0973,
|
| 1283 |
+
"step": 905
|
| 1284 |
+
},
|
| 1285 |
+
{
|
| 1286 |
+
"epoch": 0.7980705985529489,
|
| 1287 |
+
"grad_norm": 0.04833984375,
|
| 1288 |
+
"learning_rate": 2.379063037619146e-05,
|
| 1289 |
+
"loss": 1.0714,
|
| 1290 |
+
"step": 910
|
| 1291 |
+
},
|
| 1292 |
+
{
|
| 1293 |
+
"epoch": 0.8024556018417014,
|
| 1294 |
+
"grad_norm": 0.048095703125,
|
| 1295 |
+
"learning_rate": 2.2808334908367914e-05,
|
| 1296 |
+
"loss": 1.0919,
|
| 1297 |
+
"step": 915
|
| 1298 |
+
},
|
| 1299 |
+
{
|
| 1300 |
+
"epoch": 0.8068406051304539,
|
| 1301 |
+
"grad_norm": 0.0478515625,
|
| 1302 |
+
"learning_rate": 2.184413228954468e-05,
|
| 1303 |
+
"loss": 1.082,
|
| 1304 |
+
"step": 920
|
| 1305 |
+
},
|
| 1306 |
+
{
|
| 1307 |
+
"epoch": 0.8112256084192063,
|
| 1308 |
+
"grad_norm": 0.0478515625,
|
| 1309 |
+
"learning_rate": 2.0898248517857256e-05,
|
| 1310 |
+
"loss": 1.091,
|
| 1311 |
+
"step": 925
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"epoch": 0.8156106117079588,
|
| 1315 |
+
"grad_norm": 0.04833984375,
|
| 1316 |
+
"learning_rate": 1.9970905297711606e-05,
|
| 1317 |
+
"loss": 1.0919,
|
| 1318 |
+
"step": 930
|
| 1319 |
+
},
|
| 1320 |
+
{
|
| 1321 |
+
"epoch": 0.8199956149967113,
|
| 1322 |
+
"grad_norm": 0.050048828125,
|
| 1323 |
+
"learning_rate": 1.9062319987819067e-05,
|
| 1324 |
+
"loss": 1.0668,
|
| 1325 |
+
"step": 935
|
| 1326 |
+
},
|
| 1327 |
+
{
|
| 1328 |
+
"epoch": 0.8243806182854637,
|
| 1329 |
+
"grad_norm": 0.04833984375,
|
| 1330 |
+
"learning_rate": 1.8172705550250092e-05,
|
| 1331 |
+
"loss": 1.0912,
|
| 1332 |
+
"step": 940
|
| 1333 |
+
},
|
| 1334 |
+
{
|
| 1335 |
+
"epoch": 0.8287656215742162,
|
| 1336 |
+
"grad_norm": 0.046630859375,
|
| 1337 |
+
"learning_rate": 1.7302270500518182e-05,
|
| 1338 |
+
"loss": 1.0886,
|
| 1339 |
+
"step": 945
|
| 1340 |
+
},
|
| 1341 |
+
{
|
| 1342 |
+
"epoch": 0.8331506248629686,
|
| 1343 |
+
"grad_norm": 0.047607421875,
|
| 1344 |
+
"learning_rate": 1.6451218858706374e-05,
|
| 1345 |
+
"loss": 1.0815,
|
| 1346 |
+
"step": 950
|
| 1347 |
+
},
|
| 1348 |
+
{
|
| 1349 |
+
"epoch": 0.8375356281517211,
|
| 1350 |
+
"grad_norm": 0.0498046875,
|
| 1351 |
+
"learning_rate": 1.5619750101647114e-05,
|
| 1352 |
+
"loss": 1.1055,
|
| 1353 |
+
"step": 955
|
| 1354 |
+
},
|
| 1355 |
+
{
|
| 1356 |
+
"epoch": 0.8419206314404736,
|
| 1357 |
+
"grad_norm": 0.04833984375,
|
| 1358 |
+
"learning_rate": 1.4808059116167305e-05,
|
| 1359 |
+
"loss": 1.0854,
|
| 1360 |
+
"step": 960
|
| 1361 |
+
},
|
| 1362 |
+
{
|
| 1363 |
+
"epoch": 0.846305634729226,
|
| 1364 |
+
"grad_norm": 0.048828125,
|
| 1365 |
+
"learning_rate": 1.4016336153408893e-05,
|
| 1366 |
+
"loss": 1.1044,
|
| 1367 |
+
"step": 965
|
| 1368 |
+
},
|
| 1369 |
+
{
|
| 1370 |
+
"epoch": 0.8506906380179785,
|
| 1371 |
+
"grad_norm": 0.047607421875,
|
| 1372 |
+
"learning_rate": 1.3244766784236307e-05,
|
| 1373 |
+
"loss": 1.103,
|
| 1374 |
+
"step": 970
|
| 1375 |
+
},
|
| 1376 |
+
{
|
| 1377 |
+
"epoch": 0.855075641306731,
|
| 1378 |
+
"grad_norm": 0.048583984375,
|
| 1379 |
+
"learning_rate": 1.2493531855740625e-05,
|
| 1380 |
+
"loss": 1.0638,
|
| 1381 |
+
"step": 975
|
| 1382 |
+
},
|
| 1383 |
+
{
|
| 1384 |
+
"epoch": 0.8594606445954834,
|
| 1385 |
+
"grad_norm": 0.047119140625,
|
| 1386 |
+
"learning_rate": 1.176280744885121e-05,
|
| 1387 |
+
"loss": 1.067,
|
| 1388 |
+
"step": 980
|
| 1389 |
+
},
|
| 1390 |
+
{
|
| 1391 |
+
"epoch": 0.8638456478842359,
|
| 1392 |
+
"grad_norm": 0.0478515625,
|
| 1393 |
+
"learning_rate": 1.1052764837064178e-05,
|
| 1394 |
+
"loss": 1.0787,
|
| 1395 |
+
"step": 985
|
| 1396 |
+
},
|
| 1397 |
+
{
|
| 1398 |
+
"epoch": 0.8682306511729884,
|
| 1399 |
+
"grad_norm": 0.04833984375,
|
| 1400 |
+
"learning_rate": 1.0363570446297999e-05,
|
| 1401 |
+
"loss": 1.0825,
|
| 1402 |
+
"step": 990
|
| 1403 |
+
},
|
| 1404 |
+
{
|
| 1405 |
+
"epoch": 0.8726156544617408,
|
| 1406 |
+
"grad_norm": 0.047607421875,
|
| 1407 |
+
"learning_rate": 9.695385815885016e-06,
|
| 1408 |
+
"loss": 1.0905,
|
| 1409 |
+
"step": 995
|
| 1410 |
+
},
|
| 1411 |
+
{
|
| 1412 |
+
"epoch": 0.8770006577504933,
|
| 1413 |
+
"grad_norm": 0.048095703125,
|
| 1414 |
+
"learning_rate": 9.048367560708604e-06,
|
| 1415 |
+
"loss": 1.0723,
|
| 1416 |
+
"step": 1000
|
| 1417 |
+
},
|
| 1418 |
+
{
|
| 1419 |
+
"epoch": 0.8813856610392458,
|
| 1420 |
+
"grad_norm": 0.0478515625,
|
| 1421 |
+
"learning_rate": 8.422667334494249e-06,
|
| 1422 |
+
"loss": 1.1059,
|
| 1423 |
+
"step": 1005
|
| 1424 |
+
},
|
| 1425 |
+
{
|
| 1426 |
+
"epoch": 0.8857706643279982,
|
| 1427 |
+
"grad_norm": 0.047607421875,
|
| 1428 |
+
"learning_rate": 7.818431794263836e-06,
|
| 1429 |
+
"loss": 1.1027,
|
| 1430 |
+
"step": 1010
|
| 1431 |
+
},
|
| 1432 |
+
{
|
| 1433 |
+
"epoch": 0.8901556676167507,
|
| 1434 |
+
"grad_norm": 0.048095703125,
|
| 1435 |
+
"learning_rate": 7.235802565960714e-06,
|
| 1436 |
+
"loss": 1.0733,
|
| 1437 |
+
"step": 1015
|
| 1438 |
+
},
|
| 1439 |
+
{
|
| 1440 |
+
"epoch": 0.8945406709055032,
|
| 1441 |
+
"grad_norm": 0.051025390625,
|
| 1442 |
+
"learning_rate": 6.674916211254289e-06,
|
| 1443 |
+
"loss": 1.0807,
|
| 1444 |
+
"step": 1020
|
| 1445 |
+
},
|
| 1446 |
+
{
|
| 1447 |
+
"epoch": 0.8989256741942556,
|
| 1448 |
+
"grad_norm": 0.05810546875,
|
| 1449 |
+
"learning_rate": 6.1359041955315725e-06,
|
| 1450 |
+
"loss": 1.0729,
|
| 1451 |
+
"step": 1025
|
| 1452 |
+
},
|
| 1453 |
+
{
|
| 1454 |
+
"epoch": 0.9033106774830081,
|
| 1455 |
+
"grad_norm": 0.0478515625,
|
| 1456 |
+
"learning_rate": 5.618892857083069e-06,
|
| 1457 |
+
"loss": 1.0816,
|
| 1458 |
+
"step": 1030
|
| 1459 |
+
},
|
| 1460 |
+
{
|
| 1461 |
+
"epoch": 0.9076956807717605,
|
| 1462 |
+
"grad_norm": 0.047607421875,
|
| 1463 |
+
"learning_rate": 5.124003377490582e-06,
|
| 1464 |
+
"loss": 1.0853,
|
| 1465 |
+
"step": 1035
|
| 1466 |
+
},
|
| 1467 |
+
{
|
| 1468 |
+
"epoch": 0.912080684060513,
|
| 1469 |
+
"grad_norm": 0.049560546875,
|
| 1470 |
+
"learning_rate": 4.65135175322361e-06,
|
| 1471 |
+
"loss": 1.0829,
|
| 1472 |
+
"step": 1040
|
| 1473 |
+
},
|
| 1474 |
+
{
|
| 1475 |
+
"epoch": 0.9164656873492655,
|
| 1476 |
+
"grad_norm": 0.047607421875,
|
| 1477 |
+
"learning_rate": 4.20104876845111e-06,
|
| 1478 |
+
"loss": 1.0797,
|
| 1479 |
+
"step": 1045
|
| 1480 |
+
},
|
| 1481 |
+
{
|
| 1482 |
+
"epoch": 0.9208506906380179,
|
| 1483 |
+
"grad_norm": 0.0478515625,
|
| 1484 |
+
"learning_rate": 3.7731999690749585e-06,
|
| 1485 |
+
"loss": 1.0908,
|
| 1486 |
+
"step": 1050
|
| 1487 |
+
},
|
| 1488 |
+
{
|
| 1489 |
+
"epoch": 0.9252356939267704,
|
| 1490 |
+
"grad_norm": 0.04736328125,
|
| 1491 |
+
"learning_rate": 3.367905637991142e-06,
|
| 1492 |
+
"loss": 1.0784,
|
| 1493 |
+
"step": 1055
|
| 1494 |
+
},
|
| 1495 |
+
{
|
| 1496 |
+
"epoch": 0.9296206972155229,
|
| 1497 |
+
"grad_norm": 0.0478515625,
|
| 1498 |
+
"learning_rate": 2.9852607715846193e-06,
|
| 1499 |
+
"loss": 1.101,
|
| 1500 |
+
"step": 1060
|
| 1501 |
+
},
|
| 1502 |
+
{
|
| 1503 |
+
"epoch": 0.9340057005042753,
|
| 1504 |
+
"grad_norm": 0.048095703125,
|
| 1505 |
+
"learning_rate": 2.6253550574632303e-06,
|
| 1506 |
+
"loss": 1.1063,
|
| 1507 |
+
"step": 1065
|
| 1508 |
+
},
|
| 1509 |
+
{
|
| 1510 |
+
"epoch": 0.9383907037930278,
|
| 1511 |
+
"grad_norm": 0.0478515625,
|
| 1512 |
+
"learning_rate": 2.288272853436013e-06,
|
| 1513 |
+
"loss": 1.0768,
|
| 1514 |
+
"step": 1070
|
| 1515 |
+
},
|
| 1516 |
+
{
|
| 1517 |
+
"epoch": 0.9427757070817803,
|
| 1518 |
+
"grad_norm": 0.049072265625,
|
| 1519 |
+
"learning_rate": 1.974093167740565e-06,
|
| 1520 |
+
"loss": 1.0755,
|
| 1521 |
+
"step": 1075
|
| 1522 |
+
},
|
| 1523 |
+
{
|
| 1524 |
+
"epoch": 0.9471607103705327,
|
| 1525 |
+
"grad_norm": 0.04833984375,
|
| 1526 |
+
"learning_rate": 1.6828896405244988e-06,
|
| 1527 |
+
"loss": 1.0714,
|
| 1528 |
+
"step": 1080
|
| 1529 |
+
},
|
| 1530 |
+
{
|
| 1531 |
+
"epoch": 0.9515457136592852,
|
| 1532 |
+
"grad_norm": 0.047119140625,
|
| 1533 |
+
"learning_rate": 1.4147305265850175e-06,
|
| 1534 |
+
"loss": 1.085,
|
| 1535 |
+
"step": 1085
|
| 1536 |
+
},
|
| 1537 |
+
{
|
| 1538 |
+
"epoch": 0.9559307169480377,
|
| 1539 |
+
"grad_norm": 0.047119140625,
|
| 1540 |
+
"learning_rate": 1.1696786793707781e-06,
|
| 1541 |
+
"loss": 1.0816,
|
| 1542 |
+
"step": 1090
|
| 1543 |
+
},
|
| 1544 |
+
{
|
| 1545 |
+
"epoch": 0.9603157202367901,
|
| 1546 |
+
"grad_norm": 0.046875,
|
| 1547 |
+
"learning_rate": 9.477915362496758e-07,
|
| 1548 |
+
"loss": 1.0925,
|
| 1549 |
+
"step": 1095
|
| 1550 |
+
},
|
| 1551 |
+
{
|
| 1552 |
+
"epoch": 0.9647007235255426,
|
| 1553 |
+
"grad_norm": 0.0478515625,
|
| 1554 |
+
"learning_rate": 7.491211050462798e-07,
|
| 1555 |
+
"loss": 1.0662,
|
| 1556 |
+
"step": 1100
|
| 1557 |
+
},
|
| 1558 |
+
{
|
| 1559 |
+
"epoch": 0.9690857268142951,
|
| 1560 |
+
"grad_norm": 0.048095703125,
|
| 1561 |
+
"learning_rate": 5.737139518517509e-07,
|
| 1562 |
+
"loss": 1.0941,
|
| 1563 |
+
"step": 1105
|
| 1564 |
+
},
|
| 1565 |
+
{
|
| 1566 |
+
"epoch": 0.9734707301030476,
|
| 1567 |
+
"grad_norm": 0.0498046875,
|
| 1568 |
+
"learning_rate": 4.216111901092501e-07,
|
| 1569 |
+
"loss": 1.086,
|
| 1570 |
+
"step": 1110
|
| 1571 |
+
},
|
| 1572 |
+
{
|
| 1573 |
+
"epoch": 0.9778557333918001,
|
| 1574 |
+
"grad_norm": 0.0478515625,
|
| 1575 |
+
"learning_rate": 2.9284847097746923e-07,
|
| 1576 |
+
"loss": 1.0768,
|
| 1577 |
+
"step": 1115
|
| 1578 |
+
},
|
| 1579 |
+
{
|
| 1580 |
+
"epoch": 0.9822407366805526,
|
| 1581 |
+
"grad_norm": 0.04736328125,
|
| 1582 |
+
"learning_rate": 1.8745597497433765e-07,
|
| 1583 |
+
"loss": 1.0733,
|
| 1584 |
+
"step": 1120
|
| 1585 |
+
},
|
| 1586 |
+
{
|
| 1587 |
+
"epoch": 0.986625739969305,
|
| 1588 |
+
"grad_norm": 0.04833984375,
|
| 1589 |
+
"learning_rate": 1.0545840490313596e-07,
|
| 1590 |
+
"loss": 1.0981,
|
| 1591 |
+
"step": 1125
|
| 1592 |
+
},
|
| 1593 |
+
{
|
| 1594 |
+
"epoch": 0.9910107432580575,
|
| 1595 |
+
"grad_norm": 0.05029296875,
|
| 1596 |
+
"learning_rate": 4.687498006236135e-08,
|
| 1597 |
+
"loss": 1.1037,
|
| 1598 |
+
"step": 1130
|
| 1599 |
+
},
|
| 1600 |
+
{
|
| 1601 |
+
"epoch": 0.99539574654681,
|
| 1602 |
+
"grad_norm": 0.0478515625,
|
| 1603 |
+
"learning_rate": 1.1719431740997433e-08,
|
| 1604 |
+
"loss": 1.0715,
|
| 1605 |
+
"step": 1135
|
| 1606 |
+
},
|
| 1607 |
+
{
|
| 1608 |
+
"epoch": 0.9997807498355624,
|
| 1609 |
+
"grad_norm": 0.0478515625,
|
| 1610 |
+
"learning_rate": 0.0,
|
| 1611 |
+
"loss": 1.0883,
|
| 1612 |
+
"step": 1140
|
| 1613 |
+
},
|
| 1614 |
+
{
|
| 1615 |
+
"epoch": 0.9997807498355624,
|
| 1616 |
+
"eval_loss": 1.089297890663147,
|
| 1617 |
+
"eval_runtime": 2048.9326,
|
| 1618 |
+
"eval_samples_per_second": 7.883,
|
| 1619 |
+
"eval_steps_per_second": 7.883,
|
| 1620 |
+
"step": 1140
|
| 1621 |
+
},
|
| 1622 |
+
{
|
| 1623 |
+
"epoch": 0.9997807498355624,
|
| 1624 |
+
"step": 1140,
|
| 1625 |
+
"total_flos": 3.167597749864497e+18,
|
| 1626 |
+
"train_loss": 0.80264539467661,
|
| 1627 |
+
"train_runtime": 53655.2232,
|
| 1628 |
+
"train_samples_per_second": 2.72,
|
| 1629 |
+
"train_steps_per_second": 0.021
|
| 1630 |
+
}
|
| 1631 |
+
],
|
| 1632 |
+
"logging_steps": 5,
|
| 1633 |
+
"max_steps": 1140,
|
| 1634 |
+
"num_input_tokens_seen": 0,
|
| 1635 |
+
"num_train_epochs": 1,
|
| 1636 |
+
"save_steps": 100,
|
| 1637 |
+
"total_flos": 3.167597749864497e+18,
|
| 1638 |
+
"train_batch_size": 1,
|
| 1639 |
+
"trial_name": null,
|
| 1640 |
+
"trial_params": null
|
| 1641 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2f97d97dd851eba30db4d442104f8929ef92832e214a10988afea71c04c934f3
|
| 3 |
+
size 5112
|