config.json

{
  "architectures": [
    "CnlpModelForClassification"
  ],
  "encoder_config": {
    "_name_or_path": "microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract",
    "add_cross_attention": false,
    "architectures": [
      "BertForMaskedLM"
    ],
    "attention_probs_dropout_prob": 0.1,
    "bad_words_ids": null,
    "bos_token_id": null,
    "chunk_size_feed_forward": 0,
    "classifier_dropout": null,
    "cross_attention_hidden_size": null,
    "decoder_start_token_id": null,
    "diversity_penalty": 0.0,
    "do_sample": false,
    "early_stopping": false,
    "encoder_no_repeat_ngram_size": 0,
    "eos_token_id": null,
    "finetuning_task": null,
    "forced_bos_token_id": null,
    "forced_eos_token_id": null,
    "hidden_act": "gelu",
    "hidden_dropout_prob": 0.1,
    "hidden_size": 768,
    "id2label": {
      "0": "LABEL_0",
      "1": "LABEL_1"
    },
    "initializer_range": 0.02,
    "intermediate_size": 3072,
    "is_decoder": false,
    "is_encoder_decoder": false,
    "label2id": {
      "LABEL_0": 0,
      "LABEL_1": 1
    },
    "layer_norm_eps": 1e-12,
    "length_penalty": 1.0,
    "max_length": 20,
    "max_position_embeddings": 512,
    "min_length": 0,
    "model_type": "bert",
    "no_repeat_ngram_size": 0,
    "num_attention_heads": 12,
    "num_beam_groups": 1,
    "num_beams": 1,
    "num_hidden_layers": 12,
    "num_return_sequences": 1,
    "output_attentions": false,
    "output_hidden_states": false,
    "output_scores": false,
    "pad_token_id": 0,
    "position_embedding_type": "absolute",
    "prefix": null,
    "problem_type": null,
    "pruned_heads": {},
    "remove_invalid_values": false,
    "repetition_penalty": 1.0,
    "return_dict": true,
    "return_dict_in_generate": false,
    "sep_token_id": null,
    "task_specific_params": null,
    "temperature": 1.0,
    "tie_encoder_decoder": false,
    "tie_word_embeddings": true,
    "tokenizer_class": null,
    "top_k": 50,
    "top_p": 1.0,
    "torch_dtype": null,
    "torchscript": false,
    "transformers_version": "4.15.0",
    "type_vocab_size": 2,
    "use_bfloat16": false,
    "use_cache": true,
    "vocab_size": 28903
  },
  "encoder_name": "microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract",
  "finetuning_task": [
    "timex",
    "event",
    "tlinkx"
  ],
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "layer": 11,
  "model_type": "cnlpt",
  "num_labels_list": [
    17,
    9,
    6
  ],
  "num_rel_attention_heads": 256,
  "rel_attention_head_dims": 64,
  "relations": [
    false,
    false,
    true
  ],
  "tagger": [
    true,
    true,
    false
  ],
  "tokens": false,
  "torch_dtype": "float32",
  "transformers_version": "4.15.0",
  "use_prior_tasks": false,
  "vocab_size": 28903
}