config.json

{
  "architectures": [
    "MpraDragoNnForSequencePrediction"
  ],
  "batch_norm_eps": 0.001,
  "batch_norm_momentum": 0.01,
  "bos_token_id": 1,
  "conv_channels": [
    120,
    120,
    120
  ],
  "conv_kernel_sizes": [
    5,
    5,
    5
  ],
  "dtype": "float32",
  "eos_token_id": 2,
  "head": {
    "act": null,
    "bias": true,
    "dropout": 0.0,
    "hidden_size": 15960,
    "layer_norm_eps": 1e-12,
    "loss_weight": null,
    "num_labels": 12,
    "output_name": null,
    "problem_type": "regression",
    "transform": null,
    "transform_act": "gelu",
    "type": null
  },
  "hidden_act": "relu",
  "hidden_dropout": 0.1,
  "hidden_size": 15960,
  "id2label": null,
  "input_length": 145,
  "label2id": null,
  "mask_token_id": 4,
  "model_type": "mpradragonn",
  "null_token_id": 5,
  "num_conv_layers": 3,
  "num_labels": 12,
  "pad_token_id": 0,
  "tie_word_embeddings": true,
  "transformers_version": "5.9.0",
  "unk_token_id": 3,
  "vocab_size": 5
}