A-Funakoshi
commited on
Commit
·
8cc39f8
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Parent(s):
8e5f811
Upload 8 files
Browse files- config.json +37 -0
- history.csv +16 -0
- output.png +0 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +7 -0
- tokenizer_config.json +19 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
config.json
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{
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"_name_or_path": "cl-tohoku/bert-base-japanese-whole-word-masking",
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "positive",
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"1": "neutral",
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"2": "negative"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"negative": 2,
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"neutral": 1,
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"positive": 0
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"tokenizer_class": "BertJapaneseTokenizer",
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"torch_dtype": "float32",
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"transformers_version": "4.33.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 32000
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}
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history.csv
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,loss,learning_rate,epoch,step,eval_loss,eval_accuracy,eval_f1,eval_runtime,eval_samples_per_second,eval_steps_per_second,train_runtime,train_samples_per_second,train_steps_per_second,total_flos,train_loss
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0,0.7214,2.6481843351152765e-06,1.0,1875,,,,,,,,,,,
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1,,,1.0,1875,0.486614465713501,0.7913333333333333,0.7893769545943459,4.0919,733.153,45.944,,,,,
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2,0.4877,5.296368670230553e-06,2.0,3750,,,,,,,,,,,
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3,,,2.0,3750,0.4633776843547821,0.8073333333333333,0.799803348055785,4.0931,732.948,45.931,,,,,
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4,0.4351,7.945966123987833e-06,3.0,5625,,,,,,,,,,,
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5,,,3.0,5625,0.44285982847213745,0.8166666666666667,0.8095748253721257,4.1043,730.946,45.806,,,,,
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6,0.393,1.0594150459103109e-05,4.0,7500,,,,,,,,,,,
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7,,,4.0,7500,0.40357911586761475,0.8406666666666667,0.8404833951539175,4.0943,732.728,45.918,,,,,
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8,0.3482,1.3243747912860389e-05,5.0,9375,,,,,,,,,,,
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9,,,5.0,9375,0.4182170331478119,0.8356666666666667,0.8357453865927326,4.0925,733.053,45.938,,,,,
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10,0.2986,1.5890519129333662e-05,6.0,11250,,,,,,,,,,,
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11,,,6.0,11250,0.4582119286060333,0.829,0.8265142641408832,4.0926,733.022,45.936,,,,,
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12,0.245,1.853870346444894e-05,7.0,13125,,,,,,,,,,,
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13,,,7.0,13125,0.4831666350364685,0.83,0.8292331918796845,4.0936,732.859,45.926,,,,,
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14,,,7.0,13125,,,,,,,3769.8628,3183.14,49.737,8.609884212966826e+16,0.4184326125372024
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output.png
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:0f536b1dbc0ea6a3ed65ab13e43d7ebd73ec26534ca76e836dca75e43af0567c
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size 442545135
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special_tokens_map.json
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{
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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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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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_lower_case": false,
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"do_subword_tokenize": true,
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"do_word_tokenize": true,
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"jumanpp_kwargs": null,
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"mask_token": "[MASK]",
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"mecab_kwargs": null,
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"model_max_length": 512,
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"never_split": null,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"subword_tokenizer_type": "wordpiece",
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"sudachi_kwargs": null,
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"tokenizer_class": "BertJapaneseTokenizer",
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"unk_token": "[UNK]",
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"word_tokenizer_type": "mecab"
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:16da3b2cbdab6ab8867f55ec7f7b9da78660783d9ac3f20f4280d2499c5ef288
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size 4079
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vocab.txt
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