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  1. config.json +52 -0
  2. pytorch_model.bin +3 -0
  3. training_args.bin +3 -0
config.json ADDED
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+ {
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+ "_name_or_path": "facebook/bart-large-mnli",
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+ "_num_labels": 3,
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+ "activation_dropout": 0.0,
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+ "activation_function": "gelu",
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+ "add_final_layer_norm": false,
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+ "architectures": [
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+ "BartForSequenceClassification"
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+ ],
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 0,
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+ "classif_dropout": 0.0,
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+ "d_model": 1024,
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+ "decoder_attention_heads": 16,
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+ "decoder_ffn_dim": 4096,
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+ "decoder_layerdrop": 0.0,
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+ "decoder_layers": 12,
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+ "decoder_start_token_id": 2,
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+ "dropout": 0.1,
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+ "encoder_layerdrop": 0.0,
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+ "encoder_layers": 12,
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+ "eos_token_id": 2,
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+ "forced_eos_token_id": 2,
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+ "gradient_checkpointing": false,
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+ "id2label": {
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+ "0": "contradiction",
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+ "1": "neutral",
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+ "2": "entailment"
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+ },
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+ "init_std": 0.02,
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+ "is_encoder_decoder": true,
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+ "label2id": {
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+ "contradiction": 0,
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+ "entailment": 2,
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+ "neutral": 1
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+ },
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+ "max_position_embeddings": 1024,
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+ "model_type": "bart",
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+ "normalize_before": false,
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+ "num_hidden_layers": 12,
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+ "output_past": false,
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+ "pad_token_id": 1,
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+ "problem_type": "single_label_classification",
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+ "scale_embedding": false,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.20.0",
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+ "use_cache": true,
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+ "vocab_size": 50265
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+ }
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