Upload RobertaForTokenClassification
Browse files- config.json +66 -0
- pytorch_model.bin +3 -0
config.json
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{
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"_name_or_path": "vesteinn/IceBERT",
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"architectures": [
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"RobertaForTokenClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"eos_token_id": 2,
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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": "B-Date",
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"1": "B-Location",
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"2": "B-Miscellaneous",
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"3": "B-Money",
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"4": "B-Organization",
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"5": "B-Percent",
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"6": "B-Person",
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"7": "B-Time",
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"8": "I-Date",
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"9": "I-Location",
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"10": "I-Miscellaneous",
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"11": "I-Money",
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"12": "I-Organization",
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"13": "I-Percent",
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"14": "I-Person",
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"15": "I-Time",
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"16": "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-Date": 0,
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"B-Location": 1,
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"B-Miscellaneous": 2,
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"B-Money": 3,
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"B-Organization": 4,
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"B-Percent": 5,
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"B-Person": 6,
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"B-Time": 7,
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"I-Date": 8,
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"I-Location": 9,
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"I-Miscellaneous": 10,
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"I-Money": 11,
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"I-Organization": 12,
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"I-Percent": 13,
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"I-Person": 14,
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"I-Time": 15,
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"O": 16
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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.32.0",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 50000
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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 sha256:75f2a727cf9fcb0a4c4cb1151f878e4dfac253e66ce61dfc2bf4f53ac2e6d2bf
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size 495526697
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