Instructions to use Pis-py/m2m100_small_wo_frr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pis-py/m2m100_small_wo_frr with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Pis-py/m2m100_small_wo_frr") model = AutoModelForSeq2SeqLM.from_pretrained("Pis-py/m2m100_small_wo_frr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload 13 files
Browse files- all_results.json +23 -0
- config.json +38 -0
- eval_results.json +10 -0
- generated_predictions.txt +0 -0
- predict_results.json +9 -0
- pytorch_model.bin +3 -0
- sentencepiece.bpe.model +3 -0
- special_tokens_map.json +109 -0
- tokenizer_config.json +119 -0
- train_results.json +9 -0
- trainer_state.json +181 -0
- training_args.bin +3 -0
- vocab.json +0 -0
all_results.json
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{
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"epoch": 40.0,
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"eval_bleu": 8.7462,
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"eval_gen_len": 42.6262,
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"eval_loss": 3.8143951892852783,
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"eval_runtime": 622.8474,
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"eval_samples": 1506,
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"eval_samples_per_second": 2.418,
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"eval_steps_per_second": 0.242,
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"predict_bleu": 7.672,
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"predict_gen_len": 44.52,
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"predict_loss": 3.8288064002990723,
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"predict_runtime": 654.7493,
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"predict_samples": 1500,
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"predict_samples_per_second": 2.291,
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"predict_steps_per_second": 0.229,
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"total_flos": 2.659014067347456e+16,
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"train_loss": 0.3552576902189425,
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"train_runtime": 12919.7128,
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"train_samples": 3360,
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"train_samples_per_second": 10.403,
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"train_steps_per_second": 1.04
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}
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config.json
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{
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"_name_or_path": "facebook/m2m100_418M",
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"activation_dropout": 0.0,
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"activation_function": "relu",
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"architectures": [
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"M2M100ForConditionalGeneration"
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],
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"attention_dropout": 0.1,
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"bos_token_id": 0,
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"d_model": 1024,
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"decoder_attention_heads": 16,
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"decoder_ffn_dim": 4096,
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"decoder_layerdrop": 0.05,
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"decoder_layers": 12,
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"decoder_start_token_id": 2,
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"dropout": 0.1,
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"early_stopping": true,
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"encoder_attention_heads": 16,
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"encoder_ffn_dim": 4096,
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"encoder_layerdrop": 0.05,
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"encoder_layers": 12,
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"eos_token_id": 2,
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"forced_bos_token_id": 128098,
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"gradient_checkpointing": false,
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"init_std": 0.02,
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"is_encoder_decoder": true,
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"max_length": 200,
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"max_position_embeddings": 1024,
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"model_type": "m2m_100",
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"num_beams": 5,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"scale_embedding": true,
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"torch_dtype": "float32",
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"transformers_version": "4.24.0",
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"use_cache": true,
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"vocab_size": 128112
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}
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eval_results.json
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{
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"epoch": 40.0,
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"eval_bleu": 8.7462,
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"eval_gen_len": 42.6262,
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"eval_loss": 3.8143951892852783,
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"eval_runtime": 622.8474,
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"eval_samples": 1506,
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"eval_samples_per_second": 2.418,
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"eval_steps_per_second": 0.242
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}
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generated_predictions.txt
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predict_results.json
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{
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"predict_bleu": 7.672,
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"predict_gen_len": 44.52,
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"predict_loss": 3.8288064002990723,
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"predict_runtime": 654.7493,
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"predict_samples": 1500,
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"predict_samples_per_second": 2.291,
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"predict_steps_per_second": 0.229
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:14df56cc397af36b4a22ef77f243e1d2529bb4c43af69b657cecc941cf885866
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size 1935792071
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sentencepiece.bpe.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:d8f7c76ed2a5e0822be39f0a4f95a55eb19c78f4593ce609e2edbc2aea4d380a
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size 2423393
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"__af__",
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"__am__",
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"__ar__",
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"__ast__",
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"__az__",
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"__ba__",
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"__be__",
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"__bg__",
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"__bn__",
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"__ca__",
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"__fr__",
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"__jv__",
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"__ka__",
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"__kk__",
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"__km__",
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"__ko__",
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"__lb__",
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"__lg__",
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"__ln__",
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"__lo__",
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"__lt__",
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"__lv__",
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"__mg__",
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"__mk__",
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"__ml__",
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"__mn__",
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"__mr__",
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"__ms__",
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"__my__",
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"__ne__",
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"__nl__",
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"__no__",
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"__ns__",
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"__oc__",
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"__or__",
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"__pa__",
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"__pl__",
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"__ps__",
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"__pt__",
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"__ro__",
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"__ru__",
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"__sd__",
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"__si__",
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"__sk__",
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"__sl__",
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"__so__",
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"__sq__",
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"__sr__",
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"__ss__",
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"__su__",
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"__sv__",
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"__sw__",
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"__ta__",
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"__th__",
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"__tl__",
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"__tn__",
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"__tr__",
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"__uk__",
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"__ur__",
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"__uz__",
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"__vi__",
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"__wo__",
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"__xh__",
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"__yi__",
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"__yo__",
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"__zh__",
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"__zu__"
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],
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"bos_token": "<s>",
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"eos_token": "</s>",
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"unk_token": "<unk>"
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}
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tokenizer_config.json
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{
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"additional_special_tokens": [
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"__af__",
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"__am__",
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"__ar__",
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"__ast__",
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"__az__",
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"__ba__",
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"__be__",
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"__bg__",
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"__bn__",
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"__br__",
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"__bs__",
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"__ca__",
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"__ceb__",
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"__cs__",
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"__cy__",
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"__da__",
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"__de__",
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"__el__",
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"__en__",
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"__es__",
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"__et__",
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"__fa__",
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"__fi__",
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"__fr__",
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"__fy__",
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"__ga__",
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"__gd__",
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"__gl__",
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"__gu__",
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"__ha__",
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"__he__",
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"__hi__",
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"__hr__",
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"__ht__",
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