Upload XLMRobertaForTokenClassification
Browse files- config.json +54 -0
- pytorch_model.bin +3 -0
config.json
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{
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"_name_or_path": "/home/sami/POLITICAL_ENTITY_RECOGNITION/C_MODELS/XL_Data/Base/triple",
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"architectures": [
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"XLMRobertaForTokenClassification"
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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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"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-BEH\u00d6RDE",
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"2": "I-BEH\u00d6RDE",
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"3": "B-POLITIKER",
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"4": "I-POLITIKER",
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"5": "B-MEDIEN",
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"6": "I-MEDIEN",
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"7": "B-PARTEI",
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"8": "I-PARTEI",
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"9": "B-JOURNALIST",
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"10": "I-JOURNALIST"
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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-BEH\u00d6RDE": 1,
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"B-JOURNALIST": 9,
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"B-MEDIEN": 5,
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"B-PARTEI": 7,
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"B-POLITIKER": 3,
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"I-BEH\u00d6RDE": 2,
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"I-JOURNALIST": 10,
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"I-MEDIEN": 6,
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"I-PARTEI": 8,
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"I-POLITIKER": 4,
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"O": 0
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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": "xlm-roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"output_past": true,
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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": "4.33.2",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 250002
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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 sha256:256b5ba2708e293e0542b2cc1c6635e3e73caf9c8c3fb952e8acdd9365ae643a
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size 1109911593
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