config.json

{
  "_name_or_path": "./models/20newsgroups_squeezebert-probe/",
  "architectures": [
    "SqueezeBertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "embedding_size": 768,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "LABEL_0",
    "1": "LABEL_1",
    "2": "LABEL_2",
    "3": "LABEL_3",
    "4": "LABEL_4",
    "5": "LABEL_5",
    "6": "LABEL_6",
    "7": "LABEL_7",
    "8": "LABEL_8",
    "9": "LABEL_9",
    "10": "LABEL_10",
    "11": "LABEL_11",
    "12": "LABEL_12",
    "13": "LABEL_13",
    "14": "LABEL_14",
    "15": "LABEL_15",
    "16": "LABEL_16",
    "17": "LABEL_17",
    "18": "LABEL_18",
    "19": "LABEL_19"
  },
  "initializer_range": 0.02,
  "intermediate_groups": 4,
  "intermediate_size": 3072,
  "k_groups": 4,
  "label2id": {
    "LABEL_0": 0,
    "LABEL_1": 1,
    "LABEL_10": 10,
    "LABEL_11": 11,
    "LABEL_12": 12,
    "LABEL_13": 13,
    "LABEL_14": 14,
    "LABEL_15": 15,
    "LABEL_16": 16,
    "LABEL_17": 17,
    "LABEL_18": 18,
    "LABEL_19": 19,
    "LABEL_2": 2,
    "LABEL_3": 3,
    "LABEL_4": 4,
    "LABEL_5": 5,
    "LABEL_6": 6,
    "LABEL_7": 7,
    "LABEL_8": 8,
    "LABEL_9": 9
  },
  "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": "4.27.2",
  "type_vocab_size": 2,
  "v_groups": 4,
  "vocab_size": 30528
}