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{
  "_name_or_path": "squeezebert/squeezebert-uncased",
  "architectures": [
    "SqueezeBertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "embedding_size": 768,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "NEGATIVE",
    "1": "POSITIVE"
  },
  "initializer_range": 0.02,
  "intermediate_groups": 4,
  "intermediate_size": 3072,
  "k_groups": 4,
  "label2id": {
    "NEGATIVE": 0,
    "POSITIVE": 1
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "squeezebert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "output_groups": 4,
  "pad_token_id": 0,
  "post_attention_groups": 1,
  "problem_type": "single_label_classification",
  "q_groups": 4,
  "torch_dtype": "float32",
  "transformers_version": "4.30.0",
  "type_vocab_size": 2,
  "v_groups": 4,
  "vocab_size": 30528
}