config.json

{
  "_name_or_path": "facebook/esm2_t30_150M_UR50D",
  "architectures": [
    "EsmForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.0,
  "classifier_dropout": null,
  "emb_layer_norm_before": false,
  "esmfold_config": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.0,
  "hidden_size": 640,
  "id2label": {
    "0": "LABEL_0"
  },
  "initializer_range": 0.02,
  "intermediate_size": 2560,
  "is_folding_model": false,
  "label2id": {
    "LABEL_0": 0
  },
  "layer_norm_eps": 1e-05,
  "mask_token_id": 32,
  "max_position_embeddings": 1026,
  "model_type": "esm",
  "num_attention_heads": 20,
  "num_hidden_layers": 30,
  "pad_token_id": 1,
  "position_embedding_type": "rotary",
  "problem_type": "regression",
  "token_dropout": true,
  "torch_dtype": "float32",
  "transformers_version": "4.30.2",
  "use_cache": true,
  "vocab_list": null,
  "vocab_size": 33
}