config.json

{
  "_name_or_path": "tlink_shared_task_weights/pubmed_thyme",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "after",
    "1": "before",
    "2": "begins-on",
    "3": "contains",
    "4": "contains-1",
    "5": "contains-subevent",
    "6": "contains-subevent-1",
    "7": "ends-on",
    "8": "none",
    "9": "noted-on",
    "10": "noted-on-1",
    "11": "overlap"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "after": 0,
    "before": 1,
    "begins-on": 2,
    "contains": 3,
    "contains-1": 4,
    "contains-subevent": 5,
    "contains-subevent-1": 6,
    "ends-on": 7,
    "none": 8,
    "noted-on": 9,
    "noted-on-1": 10,
    "overlap": 11
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.24.0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30522
}