config.json

{
  "architectures": [
    "DeepCpgDnaForSequencePrediction"
  ],
  "bos_token_id": 1,
  "bottleneck_size": 128,
  "conv_channels": [
    128,
    256,
    512
  ],
  "conv_kernel_sizes": [
    11,
    3,
    3
  ],
  "conv_pool_sizes": [
    4,
    2,
    2
  ],
  "dtype": "float32",
  "eos_token_id": 2,
  "head": {
    "act": null,
    "bias": true,
    "dropout": 0.0,
    "hidden_size": 128,
    "layer_norm_eps": 1e-12,
    "loss_weight": null,
    "num_labels": 6,
    "output_name": null,
    "problem_type": "binary",
    "transform": null,
    "transform_act": "gelu",
    "type": null
  },
  "hidden_act": "relu",
  "hidden_dropout": 0.0,
  "hidden_size": 128,
  "id2label": {
    "0": "HepG21",
    "1": "HepG22",
    "2": "HepG23",
    "3": "HepG24",
    "4": "HepG25",
    "5": "HepG26"
  },
  "label2id": {
    "HepG21": 0,
    "HepG22": 1,
    "HepG23": 2,
    "HepG24": 3,
    "HepG25": 4,
    "HepG26": 5
  },
  "mask_token_id": 4,
  "model_type": "deepcpgdna",
  "null_token_id": 5,
  "num_labels": 6,
  "pad_token_id": 0,
  "sequence_length": 1001,
  "tie_word_embeddings": true,
  "transformers_version": "5.9.0",
  "unk_token_id": 3,
  "vocab_size": 5
}