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Upload config-2.json

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+ {
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+ "_name_or_path": "M-FAC/bert-mini-finetuned-mnli",
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+ "architectures": [
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+ "BertForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "classifier_dropout": null,
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+ "finetuning_task": "mnli",
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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": 256,
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+ "id2label": {
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+ "0": "entailment",
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+ "1": "neutral",
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+ "2": "contradiction"
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+ },
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+ "initializer_range": 0.02,
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+ "intermediate_size": 1024,
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+ "label2id": {
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+ "contradiction": "2",
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+ "entailment": "0",
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+ "neutral": "1"
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 4,
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+ "num_hidden_layers": 4,
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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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+ "torch_dtype": "float32",
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+ "transformers_version": "4.18.0",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 30522
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+ }