config.json

{
  "_name_or_path": "./",
  "activation_function": "gelu_new",
  "attn_dropout": 0.1,
  "attn_pdrop": 0.1,
  "beta1": 0.9,
  "beta2": 0.98,
  "bos_token_id": 8,
  "data_path": "",
  "embd_pdrop": 0.1,
  "embed_dropout": 0.1,
  "eos_token_id": 9,
  "epsilon": 1e-09,
  "eval_batch_size": 128,
  "eval_steps": 10,
  "gradient_checkpointing": false,
  "initializer_range": 0.02,
  "iterations": 1000,
  "layer_norm_epsilon": 1e-05,
  "line_count": 1,
  "lr": 0.00025,
  "max_steps": 3600000,
  "model": "GPT2",
  "model_type": "gpt2",
  "n_ctx": 256,
  "n_embd": 1024,
  "n_head": 16,
  "n_inner": null,
  "n_layer": 24,
  "n_positions": 256,
  "n_vocab": 25000,
  "opt_name": "adam",
  "precision": "float32",
  "predict_batch_size": 8,
  "res_dropout": 0.1,
  "resid_pdrop": 0.1,
  "scale_by_depth": true,
  "scale_by_in": true,
  "summary_activation": null,
  "summary_first_dropout": 0.1,
  "summary_proj_to_labels": true,
  "summary_type": "cls_index",
  "summary_use_proj": true,
  "train_batch_size": 320,
  "train_steps": 10000,
  "use_cache": true,
  "vocab_size": 25000,
  "warmup_steps": 2000,
  "weight_decay": 0.01,
  "architectures": [
    "GPT2LMHeadModel"
  ],
  "tokenizer_class": "AlbertTokenizer",
  
  "task_specific_params": {
    "text-generation": {
      "do_sample": true,
      "max_length": 50
    }
  }
}