Commit
·
0734c3a
1
Parent(s):
1393cfd
commit files to HF hub
Browse files- config.json +68 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +16 -0
- vocab.txt +0 -0
config.json
ADDED
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{
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"_name_or_path": "HooshvareLab/bert-fa-base-uncased-clf-digimag",
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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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"finetuning_task": "digimag",
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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": "0",
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"1": "1",
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"2": "2",
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"3": "3",
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"4": "4",
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"5": "5",
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"6": "6",
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"7": "7",
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"8": "8",
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"9": "9",
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"10": "10",
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"11": "11",
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"12": "12",
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"13": "13",
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"14": "14",
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"15": "15",
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"16": "16",
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"17": "17"
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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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"0": 0,
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"1": 1,
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"10": 10,
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"11": 11,
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"12": 12,
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"13": 13,
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"14": 14,
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"15": 15,
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"16": 16,
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"17": 17,
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"2": 2,
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"3": 3,
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"4": 4,
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"5": 5,
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"6": 6,
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"7": 7,
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"8": 8,
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"9": 9
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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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"torch_dtype": "float32",
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"transformers_version": "4.30.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 100000
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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 sha256:2a3bda8476e2cdde73412a0613fefa0aadc3bd29ac3194b8cf48c01170977864
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size 651493557
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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_basic_tokenize": true,
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"do_lower_case": true,
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"full_tokenizer_file": null,
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"mask_token": "[MASK]",
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"model_max_length": 1000000000000000019884624838656,
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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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"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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vocab.txt
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