add MT model
Browse files- all_results.json +15 -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 +1 -0
- tokenizer_config.json +1 -0
- train_results.json +8 -0
- trainer_state.json +1699 -0
- training_args.bin +3 -0
- vocab.json +0 -0
all_results.json
ADDED
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{
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"epoch": 3.0,
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"predict_bleu": 17.2015,
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"predict_gen_len": 34.5,
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"predict_loss": 2.4012866020202637,
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"predict_runtime": 579.2742,
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| 7 |
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"predict_samples": 1558,
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| 8 |
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"predict_samples_per_second": 2.69,
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| 9 |
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"predict_steps_per_second": 0.269,
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"train_loss": 1.3522833067220121,
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| 11 |
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"train_runtime": 43996.1722,
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| 12 |
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"train_samples": 466515,
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| 13 |
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"train_samples_per_second": 31.811,
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"train_steps_per_second": 3.181
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}
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config.json
ADDED
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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": 128022,
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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": "4.12.0",
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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": 3.0,
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"eval_bleu": 17.7528,
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"eval_gen_len": 30.1423,
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"eval_loss": 2.175293207168579,
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"eval_runtime": 276.9081,
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"eval_samples": 1391,
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"eval_samples_per_second": 5.023,
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"eval_steps_per_second": 0.253
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}
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generated_predictions.txt
ADDED
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The diff for this file is too large to render.
See raw diff
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predict_results.json
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{
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"predict_bleu": 17.2015,
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"predict_gen_len": 34.5,
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"predict_loss": 2.4012866020202637,
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| 5 |
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"predict_runtime": 579.2742,
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| 6 |
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"predict_samples": 1558,
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| 7 |
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"predict_samples_per_second": 2.69,
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"predict_steps_per_second": 0.269
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}
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pytorch_model.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:a10397449f12d6f37b038e13e318b4ce9f21095c6b8605d3ed93df04d7f01c0c
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size 1935804116
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sentencepiece.bpe.model
ADDED
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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
ADDED
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{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "additional_special_tokens": ["__af__", "__am__", "__ar__", "__ast__", "__az__", "__ba__", "__be__", "__bg__", "__bn__", "__br__", "__bs__", "__ca__", "__ceb__", "__cs__", "__cy__", "__da__", "__de__", "__el__", "__en__", "__es__", "__et__", "__fa__", "__ff__", "__fi__", "__fr__", "__fy__", "__ga__", "__gd__", "__gl__", "__gu__", "__ha__", "__he__", "__hi__", "__hr__", "__ht__", "__hu__", "__hy__", "__id__", "__ig__", "__ilo__", "__is__", "__it__", "__ja__", "__jv__", "__ka__", "__kk__", "__km__", "__kn__", "__ko__", "__lb__", "__lg__", "__ln__", "__lo__", "__lt__", "__lv__", "__mg__", "__mk__", "__ml__", "__mn__", "__mr__", "__ms__", "__my__", "__ne__", "__nl__", "__no__", "__ns__", "__oc__", "__or__", "__pa__", "__pl__", "__ps__", "__pt__", "__ro__", "__ru__", "__sd__", "__si__", "__sk__", "__sl__", "__so__", "__sq__", "__sr__", "__ss__", "__su__", "__sv__", "__sw__", "__ta__", "__th__", "__tl__", "__tn__", "__tr__", "__uk__", "__ur__", "__uz__", "__vi__", "__wo__", "__xh__", "__yi__", "__yo__", "__zh__", "__zu__"]}
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tokenizer_config.json
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{"src_lang": null, "tgt_lang": null, "bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>", "sp_model_kwargs": {}, "special_tokens_map_file": "m2m_100_1.2B_v2/special_tokens_map.json", "tokenizer_file": null, "name_or_path": "facebook/m2m100_418M", "model_max_length": 1024, "additional_special_tokens": ["__af__", "__am__", "__ar__", "__ast__", "__az__", "__ba__", "__be__", "__bg__", "__bn__", "__br__", "__bs__", "__ca__", "__ceb__", "__cs__", "__cy__", "__da__", "__de__", "__el__", "__en__", "__es__", "__et__", "__fa__", "__ff__", "__fi__", "__fr__", "__fy__", "__ga__", "__gd__", "__gl__", "__gu__", "__ha__", "__he__", "__hi__", "__hr__", "__ht__", "__hu__", "__hy__", "__id__", "__ig__", "__ilo__", "__is__", "__it__", "__ja__", "__jv__", "__ka__", "__kk__", "__km__", "__kn__", "__ko__", "__lb__", "__lg__", "__ln__", "__lo__", "__lt__", "__lv__", "__mg__", "__mk__", "__ml__", "__mn__", "__mr__", "__ms__", "__my__", "__ne__", "__nl__", "__no__", "__ns__", "__oc__", "__or__", "__pa__", "__pl__", "__ps__", "__pt__", "__ro__", "__ru__", "__sd__", "__si__", "__sk__", "__sl__", "__so__", "__sq__", "__sr__", "__ss__", "__su__", "__sv__", "__sw__", "__ta__", "__th__", "__tl__", "__tn__", "__tr__", "__uk__", "__ur__", "__uz__", "__vi__", "__wo__", "__xh__", "__yi__", "__yo__", "__zh__", "__zu__"], "tokenizer_class": "M2M100Tokenizer"}
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train_results.json
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{
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"epoch": 3.0,
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"train_loss": 1.3522833067220121,
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"train_runtime": 43996.1722,
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"train_samples": 466515,
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| 6 |
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"train_samples_per_second": 31.811,
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| 7 |
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"train_steps_per_second": 3.181
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}
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trainer_state.json
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