| { | |
| "base_model_id": "deepseek-ai/deepseek-coder-1.3b-instruct", | |
| "quantitize": "fp16", | |
| "dataset": "Arithmetic_Hard", | |
| "data_collator": "DataCollatorForLanguageModeling", | |
| "peft_config": { | |
| "lora": { | |
| "r": 32, | |
| "lora_alpha": 64, | |
| "target_modules": [ | |
| "q_proj", | |
| "k_proj", | |
| "v_proj", | |
| "o_proj", | |
| "gate_proj", | |
| "up_proj", | |
| "down_proj" | |
| ], | |
| "bias": "none", | |
| "lora_dropout": 0.05, | |
| "task_type": "CAUSAL_LM" | |
| }, | |
| "lora_large": { | |
| "r": 128, | |
| "lora_alpha": 256, | |
| "target_modules": [ | |
| "q_proj", | |
| "k_proj", | |
| "v_proj", | |
| "o_proj", | |
| "gate_proj", | |
| "up_proj", | |
| "down_proj" | |
| ], | |
| "bias": "none", | |
| "lora_dropout": 0.05, | |
| "task_type": "CAUSAL_LM" | |
| }, | |
| "p_tuning": { | |
| "num_virtual_tokens": 16, | |
| "num_transformer_submodules": 1, | |
| "token_dim": 2048, | |
| "encoder_hidden_size": 2048, | |
| "task_type": "CAUSAL_LM" | |
| } | |
| }, | |
| "training_args": { | |
| "warmup_steps": 500, | |
| "per_device_train_batch_size": 4, | |
| "per_device_eval_batch_size": 4, | |
| "gradient_accumulation_steps": 1, | |
| "max_steps": 30000, | |
| "learning_rate": 0.0001, | |
| "optim": "adamw_torch", | |
| "logging_steps": 100, | |
| "save_strategy": "steps", | |
| "save_steps": 2000, | |
| "evaluation_strategy": "steps", | |
| "eval_steps": 1000, | |
| "weight_decay": 0.01, | |
| "report_to": "wandb", | |
| "fp16": true, | |
| "output_dir": "runs/deepseek-curri-5", | |
| "logging_dir": "runs/deepseek-curri-5/logs" | |
| }, | |
| "tokenizer": { | |
| "tokenize_config": { | |
| "truncation": true, | |
| "max_length": 512, | |
| "padding": "max_length" | |
| }, | |
| "prompt_template": "config/qa_template.txt" | |
| } | |
| } | |