Upload rame_recall_llm for argument frame identification
Browse files- config.json +61 -0
- pytorch_model.bin +3 -0
config.json
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{
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"_name_or_path": "models\\framing\\all_data_arguments\\RoBERTa-base\\RoBERTa-standard\\_best_model",
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"architectures": [
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"RobertaForSequenceClassification"
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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": "economic",
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"1": "capacity and resources",
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"2": "morality",
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"3": "fairness and equality",
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"4": "legality, constitutionality and jurisprudence",
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"5": "policy prescription and evaluation",
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"6": "crime and punishment",
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"7": "security and defense",
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"8": "health and safety",
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"9": "quality of life",
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"10": "cultural identity",
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"11": "public opinion",
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"12": "political",
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"13": "external regulation and reputation"
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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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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_10": 10,
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"LABEL_11": 11,
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"LABEL_12": 12,
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"LABEL_13": 13,
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"LABEL_14": 14,
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"LABEL_2": 2,
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"LABEL_3": 3,
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"LABEL_4": 4,
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"LABEL_5": 5,
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"LABEL_6": 6,
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"LABEL_7": 7,
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"LABEL_8": 8,
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"LABEL_9": 9
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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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"problem_type": "multi_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.33.1",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 50265
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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 sha256:8c8736419534bdecfdec81afb481e789c3ca5ee40d027e85f8400541cb20e941
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size 498695278
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