config.json

{
  "architectures": [
    "BasenjiForTokenPrediction"
  ],
  "batch_norm_eps": 0.001,
  "batch_norm_momentum": 0.1,
  "blocks": {
    "bottleneck_size": 384,
    "dilation": 1,
    "dilation_rate": 1.5,
    "dropout": 0.3,
    "kernel_size": 3,
    "num_blocks": 11,
    "round_dilation": true
  },
  "bos_token_id": null,
  "conv_tower_channels": [
    339,
    399,
    470,
    554,
    652,
    768
  ],
  "conv_tower_kernel_size": 5,
  "crop_bins": 64,
  "dtype": "float32",
  "eos_token_id": null,
  "head": {
    "act": null,
    "bias": true,
    "dropout": 0.0,
    "hidden_size": null,
    "layer_norm_eps": 1e-12,
    "loss_weight": null,
    "num_labels": null,
    "output_name": null,
    "problem_type": "regression",
    "transform": null,
    "transform_act": "gelu",
    "type": null
  },
  "head_act": "softplus",
  "head_hidden_size": 1536,
  "hidden_act": "gelu_new",
  "hidden_dropout": 0.05,
  "id2label": null,
  "label2id": null,
  "mask_token_id": null,
  "model_type": "basenji",
  "null_token_id": null,
  "num_labels": 5313,
  "output_contexts": false,
  "pad_token_id": 0,
  "sequence_length": 131072,
  "stem_channels": 288,
  "stem_kernel_size": 15,
  "stem_pool_size": 2,
  "tie_word_embeddings": true,
  "transformers_version": "5.7.0",
  "unk_token_id": 3,
  "vocab_size": 5
}