| { | |
| "architectures": [ | |
| "LlamaForConditionalGeneration" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "layer_norm_epsilon": 1e-05, | |
| "max_position_embeddings": 1024, | |
| "model_type": "llama", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 0, | |
| "type_vocab_size": 2, | |
| "vocab_size": 30522, | |
| "adapter_config": { | |
| "adapter_type": "lora", | |
| "quantization": { | |
| "bits": 4 | |
| } | |
| }, | |
| "quantization_config": { | |
| "bits": 4 | |
| }, | |
| "temperature": 0.04, | |
| "max_new_tokens": 100, | |
| "trainer": { | |
| "type": "finetune", | |
| "epochs": 6, | |
| "batch_size": 1, | |
| "eval_batch_size": 2, | |
| "gradient_accumulation_steps": 16, | |
| "learning_rate": 0.001, | |
| "learning_rate_scheduler": { | |
| "decay": "cosine" | |
| } | |
| }, | |
| "text_defaults": { | |
| "preprocessing": { | |
| "max_sequence_length": 256 | |
| } | |
| } | |
| } |