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  1. agent/acoustic/acoustic_scaler.joblib +3 -0
  2. agent/acoustic/randomforest_acoustic_model.joblib +3 -0
  3. agent/acoustic/svm_acoustic_model.joblib +3 -0
  4. agent/text/best_model/config.json +45 -0
  5. agent/text/best_model/pytorch_model.bin +3 -0
  6. agent/text/best_model/training_args.bin +3 -0
  7. client/acoustic/acoustic_scaler.joblib +3 -0
  8. client/acoustic/randomforest_acoustic_model.joblib +3 -0
  9. client/acoustic/svm_acoustic_model.joblib +3 -0
  10. client/text/best_model/config.json +45 -0
  11. client/text/best_model/pytorch_model.bin +3 -0
  12. client/text/best_model/training_args.bin +3 -0
agent/acoustic/acoustic_scaler.joblib ADDED
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agent/acoustic/randomforest_acoustic_model.joblib ADDED
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agent/acoustic/svm_acoustic_model.joblib ADDED
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agent/text/best_model/config.json ADDED
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+ "problem_type": "single_label_classification",
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+ "sep_token": "[SEP]",
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+ "transformers_version": "4.43.3",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 80000
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agent/text/best_model/pytorch_model.bin ADDED
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client/acoustic/acoustic_scaler.joblib ADDED
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client/acoustic/randomforest_acoustic_model.joblib ADDED
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client/acoustic/svm_acoustic_model.joblib ADDED
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client/text/best_model/config.json ADDED
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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": "[PAD]",
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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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+ "sep_token": "[SEP]",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.43.3",
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+ "type_vocab_size": 2,
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+ "unk_token": "[UNK]",
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+ "use_cache": true,
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+ "vocab_size": 80000
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+ }
client/text/best_model/pytorch_model.bin ADDED
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client/text/best_model/training_args.bin ADDED
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