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Upload DebertaV2ForSequenceClassification

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  1. config.json +100 -0
  2. pytorch_model.bin +3 -0
config.json ADDED
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+ {
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+ "_name_or_path": "microsoft/deberta-v3-small",
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+ "architectures": [
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+ "DebertaV2ForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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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": "LABEL_0",
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+ "1": "LABEL_1",
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+ "2": "LABEL_2",
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+ "3": "LABEL_3",
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+ "4": "LABEL_4",
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+ "5": "LABEL_5",
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+ "19": "LABEL_19",
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+ "20": "LABEL_20",
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+ "21": "LABEL_21",
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+ "22": "LABEL_22",
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+ "23": "LABEL_23",
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+ "24": "LABEL_24",
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+ "27": "LABEL_27",
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+ "28": "LABEL_28",
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+ },
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+ "intermediate_size": 3072,
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+ "label2id": {
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+ "LABEL_0": 0,
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+ },
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+ "layer_norm_eps": 1e-07,
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+ "max_position_embeddings": 512,
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+ "max_relative_positions": -1,
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+ "model_type": "deberta-v2",
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+ "norm_rel_ebd": "layer_norm",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 6,
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+ "pad_token_id": 0,
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+ "pooler_dropout": 0,
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+ "pooler_hidden_act": "gelu",
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+ "pooler_hidden_size": 768,
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+ "pos_att_type": [
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+ "p2c",
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+ "c2p"
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+ ],
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+ "position_biased_input": false,
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+ "position_buckets": 256,
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+ "problem_type": "single_label_classification",
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+ "relative_attention": true,
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+ "share_att_key": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.26.1",
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+ "type_vocab_size": 0,
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+ "vocab_size": 128100
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+ }
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