gpt2-persian / config.json
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{
"_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
}
}
}