config.json

{
  "_name_or_path": "ltg/norbert3-base",
  "architectures": [
    "NorbertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "auto_map": {
    "AutoConfig": "ltg/norbert3-base--configuration_norbert.NorbertConfig",
    "AutoModel": "ltg/norbert3-base--modeling_norbert.NorbertModel",
    "AutoModelForMaskedLM": "ltg/norbert3-base--modeling_norbert.NorbertForMaskedLM",
    "AutoModelForMultipleChoice": "ltg/norbert3-base--modeling_norbert.NorbertForMultipleChoice",
    "AutoModelForQuestionAnswering": "ltg/norbert3-base--modeling_norbert.NorbertForQuestionAnswering",
    "AutoModelForSequenceClassification": "ltg/norbert3-base--modeling_norbert.NorbertForSequenceClassification",
    "AutoModelForTokenClassification": "ltg/norbert3-base--modeling_norbert.NorbertForTokenClassification"
  },
  "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"
  },
  "intermediate_size": 2048,
  "label2id": {
    "LABEL_0": 0,
    "LABEL_1": 1,
    "LABEL_2": 2,
    "LABEL_3": 3,
    "LABEL_4": 4,
    "LABEL_5": 5,
    "LABEL_6": 6
  },
  "layer_norm_eps": 1e-07,
  "max_position_embeddings": 512,
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "output_all_encoded_layers": true,
  "position_bucket_size": 32,
  "torch_dtype": "float32",
  "transformers_version": "4.33.0",
  "vocab_size": 50000
}