config.json

{
  "_name_or_path": "tiny_models/flaubert/FlaubertForTokenClassification",
  "architectures": [
    "FlaubertForTokenClassification"
  ],
  "asm": false,
  "attention_dropout": 0.1,
  "bos_index": 0,
  "bos_token_id": 0,
  "causal": false,
  "dropout": 0.1,
  "emb_dim": 32,
  "embed_init_std": 0.02209708691207961,
  "end_n_top": 5,
  "eos_index": 1,
  "gelu_activation": true,
  "init_std": 0.02,
  "initializer_range": 0.02,
  "is_encoder": true,
  "lang_id": 0,
  "layer_norm_eps": 1e-12,
  "layerdrop": 0.0,
  "mask_index": 5,
  "mask_token_id": 5,
  "max_position_embeddings": 512,
  "model_type": "flaubert",
  "n_heads": 4,
  "n_langs": 2,
  "n_layers": 5,
  "n_special": 0,
  "pad_index": 2,
  "pad_token_id": 2,
  "pre_norm": false,
  "sinusoidal_embeddings": false,
  "start_n_top": 5,
  "summary_activation": null,
  "summary_first_dropout": 0.1,
  "summary_proj_to_labels": true,
  "summary_type": "last",
  "summary_use_proj": true,
  "torch_dtype": "float32",
  "transformers_version": "4.28.0.dev0",
  "unk_index": 3,
  "use_lang_emb": true,
  "use_proj": null,
  "vocab_size": 67542
}