Upload BertForTokenClassification
Browse files- config.json +55 -0
- pytorch_model.bin +3 -0
config.json
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{
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"_name_or_path": "saved-model-all-data/checkpoint-1575",
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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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"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": "B-Generic",
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"1": "B-Material",
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"2": "B-Method",
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"3": "B-Metric",
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"4": "B-OtherScientificTerm",
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"5": "B-Task",
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"6": "I-Generic",
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"7": "I-Material",
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"8": "I-Method",
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"9": "I-Metric",
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"10": "I-OtherScientificTerm",
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"11": "I-Task",
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"12": "O"
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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-Generic": 0,
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"B-Material": 1,
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"B-Method": 2,
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"B-Metric": 3,
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"B-OtherScientificTerm": 4,
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"B-Task": 5,
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"I-Generic": 6,
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"I-Material": 7,
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"I-Method": 8,
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"I-Metric": 9,
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"I-OtherScientificTerm": 10,
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"I-Task": 11,
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"O": 12
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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": "4.32.1",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 31090
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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 sha256:0cc48ae158e8c40d38cf16c9f586abb7b86f75953910480773721083bd074f41
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size 437416361
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