ElisonSherton
commited on
Commit
•
ca6fd03
1
Parent(s):
a9e7334
Training in progress, epoch 1
Browse files- .gitignore +1 -0
- config.json +104 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +13 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
.gitignore
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checkpoint-*/
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config.json
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{
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"_name_or_path": "bert-base-cased",
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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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"classifier_dropout": null,
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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": "O",
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"1": "B-CARDINAL",
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"2": "I-CARDINAL",
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"3": "B-DATE",
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"4": "I-DATE",
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"5": "B-EVENT",
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"6": "I-EVENT",
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"7": "B-FAC",
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"8": "I-FAC",
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"9": "B-GPE",
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"10": "I-GPE",
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"11": "B-LANGUAGE",
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"12": "I-LANGUAGE",
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"13": "B-LAW",
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"14": "I-LAW",
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"15": "B-LOC",
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"16": "I-LOC",
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"17": "B-MONEY",
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"18": "I-MONEY",
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"19": "B-NORP",
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"20": "I-NORP",
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"21": "B-ORDINAL",
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"22": "I-ORDINAL",
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"23": "B-ORG",
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"24": "I-ORG",
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"25": "B-PERCENT",
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"26": "I-PERCENT",
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"27": "B-PERSON",
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"28": "I-PERSON",
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"29": "B-PRODUCT",
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"30": "I-PRODUCT",
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"31": "B-QUANTITY",
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"32": "I-QUANTITY",
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"33": "B-TIME",
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"34": "I-TIME",
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"35": "B-WORK_OF_ART",
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"36": "I-WORK_OF_ART"
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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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"B-CARDINAL": 1,
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"B-DATE": 3,
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"B-EVENT": 5,
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"B-FAC": 7,
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"B-GPE": 9,
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"B-LANGUAGE": 11,
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"B-LAW": 13,
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"B-LOC": 15,
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"B-MONEY": 17,
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"B-NORP": 19,
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"B-ORDINAL": 21,
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"B-ORG": 23,
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"B-PERCENT": 25,
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"B-PERSON": 27,
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"B-PRODUCT": 29,
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"B-QUANTITY": 31,
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"B-TIME": 33,
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"B-WORK_OF_ART": 35,
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"I-CARDINAL": 2,
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"I-DATE": 4,
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"I-EVENT": 6,
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"I-FAC": 8,
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"I-GPE": 10,
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"I-LANGUAGE": 12,
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"I-LAW": 14,
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"I-LOC": 16,
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"I-MONEY": 18,
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"I-NORP": 20,
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"I-ORDINAL": 22,
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"I-ORG": 24,
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"I-PERCENT": 26,
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"I-PERSON": 28,
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"I-PRODUCT": 30,
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"I-QUANTITY": 32,
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"I-TIME": 34,
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"I-WORK_OF_ART": 36,
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"O": 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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"torch_dtype": "float32",
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"transformers_version": "4.27.4",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 28996
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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:f8ed7b8625abf434749d5a18a3b35486e2c63659c1a2a0e695d260b7864b5ed3
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size 431065130
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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.json
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tokenizer_config.json
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{
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"cls_token": "[CLS]",
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"do_lower_case": false,
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"special_tokens_map_file": null,
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"unk_token": "[UNK]"
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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 sha256:92508fdee81789ec9a6c491ce1a05153c57c176dc4e6591e0a356e842cc3f72c
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size 4024
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vocab.txt
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