config.json

{
  "annotation_size": 8943,
  "architectures": [
    "ProteinBertForPreTraining"
  ],
  "attention_key_size": 64,
  "bos_token_id": 1,
  "conv_kernel_size": 9,
  "dtype": "float32",
  "eos_token_id": 2,
  "global_hidden_size": 512,
  "head": null,
  "hidden_act": "gelu",
  "hidden_size": 128,
  "id2label": null,
  "initializer_range": 0.02,
  "label2id": null,
  "layer_norm_eps": 0.001,
  "lm_head": {
    "act": null,
    "bias": true,
    "dropout": 0.0,
    "hidden_size": null,
    "layer_norm_eps": 1e-12,
    "loss_weight": null,
    "num_labels": 37,
    "output_name": null,
    "transform": null,
    "transform_act": null
  },
  "mask_token_id": 4,
  "model_type": "proteinbert",
  "null_token_id": 5,
  "num_attention_heads": 4,
  "num_hidden_layers": 6,
  "num_labels": 1,
  "pad_token_id": 0,
  "tie_word_embeddings": false,
  "transformers_version": "5.9.0",
  "unk_token_id": 3,
  "vocab_size": 37,
  "wide_conv_dilation_rate": 5
}