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Upload SqueezeBertForSequenceClassification

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  1. config.json +74 -0
  2. pytorch_model.bin +3 -0
config.json ADDED
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+ {
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+ "_name_or_path": "./models/20newsgroups_squeezebert-finetuned/",
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+ "architectures": [
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+ "SqueezeBertForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "embedding_size": 768,
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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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+ "6": "LABEL_6",
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+ "7": "LABEL_7",
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+ "8": "LABEL_8",
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+ "9": "LABEL_9",
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+ "10": "LABEL_10",
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+ "11": "LABEL_11",
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+ "12": "LABEL_12",
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+ "13": "LABEL_13",
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+ "14": "LABEL_14",
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+ "15": "LABEL_15",
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+ "16": "LABEL_16",
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+ "17": "LABEL_17",
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+ "18": "LABEL_18",
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+ "19": "LABEL_19"
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+ },
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+ "initializer_range": 0.02,
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+ "intermediate_groups": 4,
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+ "intermediate_size": 3072,
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+ "k_groups": 4,
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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_8": 8,
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+ "LABEL_9": 9
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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": "squeezebert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "output_groups": 4,
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+ "pad_token_id": 0,
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+ "post_attention_groups": 1,
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+ "problem_type": "single_label_classification",
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+ "q_groups": 4,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.27.2",
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+ "type_vocab_size": 2,
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+ "v_groups": 4,
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+ "vocab_size": 30528
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+ }
pytorch_model.bin ADDED
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