config.json

{
  "architectures": [
    "MalinoisForSequencePrediction"
  ],
  "batch_norm_eps": 1e-05,
  "batch_norm_momentum": 0.1,
  "bos_token_id": 1,
  "branched_act": "relu",
  "branched_channels": 140,
  "branched_dropout": 0.5757068086404574,
  "conv_channels": [
    300,
    200,
    200
  ],
  "conv_kernel_sizes": [
    19,
    11,
    7
  ],
  "dtype": "float32",
  "eos_token_id": 2,
  "head": {
    "act": null,
    "bias": true,
    "dropout": 0.0,
    "hidden_size": 420,
    "layer_norm_eps": 1e-12,
    "loss_weight": null,
    "num_labels": 3,
    "output_name": null,
    "problem_type": "regression",
    "transform": null,
    "transform_act": "gelu",
    "type": null
  },
  "id2label": null,
  "input_length": 600,
  "label2id": null,
  "linear_act": "relu",
  "linear_channels": 1000,
  "linear_dropout": 0.11625456877954289,
  "mask_token_id": 4,
  "model_type": "malinois",
  "null_token_id": 5,
  "num_branched_layers": 3,
  "num_conv_layers": 3,
  "num_labels": 3,
  "num_linear_layers": 1,
  "pad_token_id": 0,
  "tie_word_embeddings": true,
  "transformers_version": "5.7.0",
  "unk_token_id": 3,
  "vocab_size": 5
}