Training in progress, epoch 1
Browse files- config.json +56 -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
config.json
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{
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"_name_or_path": "distilbert-base-uncased",
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"activation": "gelu",
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"architectures": [
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"DistilBertForTokenClassification"
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],
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"attention_dropout": 0.1,
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"dim": 768,
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"dropout": 0.1,
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"hidden_dim": 3072,
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"id2label": {
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"0": "B-Product",
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"1": "I-Product",
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"2": "B-Trademark",
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"3": "I-Trademark",
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"4": "B-Country",
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"5": "I-Country",
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"6": "B-HSCode",
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"7": "I-HSCode",
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"8": "B-HSCodeEn",
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"9": "I-HSCodeEn",
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"10": "B-Manufacturer",
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"11": "I-Manufacturer",
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"12": "B-ModelNo",
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"13": "I-ModelNo"
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},
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"initializer_range": 0.02,
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"label2id": {
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"B-Country": 4,
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"B-HSCode": 6,
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"B-HSCodeEn": 8,
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"B-Manufacturer": 10,
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"B-ModelNo": 12,
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"B-Product": 0,
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"B-Trademark": 2,
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"I-Country": 5,
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"I-HSCode": 7,
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"I-HSCodeEn": 9,
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"I-Manufacturer": 11,
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"I-ModelNo": 13,
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"I-Product": 1,
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"I-Trademark": 3
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},
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"max_position_embeddings": 512,
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"model_type": "distilbert",
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"n_heads": 12,
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"n_layers": 6,
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"pad_token_id": 0,
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"qa_dropout": 0.1,
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"seq_classif_dropout": 0.2,
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"torch_dtype": "float32",
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"transformers_version": "4.33.2",
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"vocab_size": 30522
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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:a6b739a6f98a8459d2846d4261817fd0f001d3467d4b3a6b347b754152e8adb1
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size 265529381
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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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"clean_up_tokenization_spaces": true,
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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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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "DistilBertTokenizer",
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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 sha256:4ba423315e5d9b2b4f89381ddb6d4a16396e8cb959faa72af8b15064536130e4
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size 4027
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vocab.txt
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The diff for this file is too large to render.
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