Go Inoue
commited on
Commit
•
bf87d61
1
Parent(s):
a2a4807
Add model files
Browse files- config.json +94 -0
- eval_results.txt +8 -0
- optimizer.pt +3 -0
- pytorch_model.bin +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +1 -0
- test_predictions.txt +0 -0
- test_results.txt +8 -0
- tf_model.h5 +3 -0
- tokenizer_config.json +1 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
config.json
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{
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"architectures": [
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"BertForTokenClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"gradient_checkpointing": false,
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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": "abbrev",
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"1": "adj",
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"2": "adj_comp",
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"3": "adj_num",
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"4": "adv",
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"5": "adv_interrog",
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"6": "adv_rel",
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"7": "conj",
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"8": "conj_sub",
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"9": "digit",
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"10": "interj",
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"11": "latin",
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"12": "noun",
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"13": "noun_num",
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"14": "noun_prop",
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"15": "noun_quant",
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"16": "part",
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"17": "part_det",
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"18": "part_focus",
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"19": "part_fut",
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"20": "part_interrog",
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"21": "part_neg",
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"22": "part_restrict",
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"23": "part_verb",
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"24": "part_voc",
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"25": "prep",
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"26": "pron",
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"27": "pron_dem",
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"28": "pron_exclam",
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"29": "pron_interrog",
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"30": "pron_rel",
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"31": "punc",
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"32": "verb",
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"33": "verb_nom",
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"34": "verb_pseudo"
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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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"abbrev": 0,
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"adj": 1,
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"adj_comp": 2,
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"adj_num": 3,
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"adv": 4,
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"adv_interrog": 5,
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"adv_rel": 6,
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"conj": 7,
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"conj_sub": 8,
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"digit": 9,
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"interj": 10,
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"latin": 11,
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"noun": 12,
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"noun_num": 13,
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"noun_prop": 14,
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"noun_quant": 15,
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"part": 16,
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"part_det": 17,
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"part_focus": 18,
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"part_fut": 19,
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"part_interrog": 20,
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"part_neg": 21,
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"part_restrict": 22,
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"part_verb": 23,
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"part_voc": 24,
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"prep": 25,
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"pron": 26,
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"pron_dem": 27,
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"pron_exclam": 28,
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"pron_interrog": 29,
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"pron_rel": 30,
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"punc": 31,
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"verb": 32,
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"verb_nom": 33,
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"verb_pseudo": 34
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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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"type_vocab_size": 2,
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"vocab_size": 30000
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}
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eval_results.txt
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eval_loss = 0.1454062613349823
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eval_accuracy = 0.9768293890484206
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eval_precision_micro = 0.9768293890484206
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eval_recall_micro = 0.9768293890484206
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eval_f1_micro = 0.9768293890484206
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eval_precision_macro = 0.9321829971146343
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eval_recall_macro = 0.9027813251054249
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eval_f1_macro = 0.9123311907003909
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:ac0a1735fb7bdc536c74ff783c9fbe64905cc0b8d3cfc76dd0ec3ca6e5fcec7a
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size 868200768
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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:f9b6adcc66554fa5c75d54794f8fa3b214fe5baacf164e1f9ae9a4f595bc1f30
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size 436487601
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:0bc2ae7f41b4bb044fd8629faf3d92a22f8ee898f7d714ebf735403df07bd8f0
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size 326
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special_tokens_map.json
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{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
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test_predictions.txt
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test_results.txt
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eval_loss = 0.14815210179520705
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eval_accuracy = 0.9767164179104477
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eval_precision_micro = 0.9767164179104477
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eval_recall_micro = 0.9767164179104477
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eval_f1_micro = 0.9767164179104477
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eval_precision_macro = 0.8814863115184064
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eval_recall_macro = 0.8799732308379551
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eval_f1_macro = 0.8743246883965627
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:ee541f601620a6ec099a3e8c9dc095d44d37c513844f9efb257a2fc7e046b9ab
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size 436592640
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tokenizer_config.json
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{"do_lower_case": false, "special_tokens_map_file": null, "full_tokenizer_file": null}
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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:e9e659380726f69a16e9a2ac0246933f110f1a387e0b98a5db37992508384165
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size 1354
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vocab.txt
ADDED
The diff for this file is too large to render.
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