config.json

{
  "_name_or_path": "AutoTrain",
  "_num_labels": 13,
  "architectures": [
    "CamembertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "classifier_dropout": null,
  "eos_token_id": 2,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "B-Dosage",
    "1": "B-Drug",
    "2": "B-Duration",
    "3": "B-Form",
    "4": "B-Frequency",
    "5": "B-Strength",
    "6": "I-Dosage",
    "7": "I-Drug",
    "8": "I-Duration",
    "9": "I-Form",
    "10": "I-Frequency",
    "11": "I-Strength",
    "12": "O"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-Dosage": 0,
    "B-Drug": 1,
    "B-Duration": 2,
    "B-Form": 3,
    "B-Frequency": 4,
    "B-Strength": 5,
    "I-Dosage": 6,
    "I-Drug": 7,
    "I-Duration": 8,
    "I-Form": 9,
    "I-Frequency": 10,
    "I-Strength": 11,
    "O": 12
  },
  "layer_norm_eps": 1e-05,
  "max_length": 64,
  "max_position_embeddings": 514,
  "model_type": "camembert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "output_past": true,
  "pad_token_id": 1,
  "padding": "max_length",
  "position_embedding_type": "absolute",
  "torch_dtype": "float32",
  "transformers_version": "4.29.2",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 32005
}