| 41 | |
| 42 | @dataclass |
| 43 | class TrainingArguments(transformers.TrainingArguments): |
| 44 | cache_dir: Optional[str] = field(default=None) |
| 45 | optim: str = field(default="adamw_torch") |
| 46 | model_max_length: int = field( |
| 47 | default=2048, |
| 48 | metadata={ |
| 49 | "help": "Maximum sequence length. Sequences will be right padded (and possibly truncated)." |
| 50 | }, |
| 51 | ) |
| 52 | tune_vision: Optional[bool] = field(default=True) |
| 53 | tune_llm: Optional[bool] = field(default=True) |
| 54 | llm_type: str = field(default="minicpm") |
| 55 | use_lora: Optional[bool] = field(default=False) |
| 56 | max_slice_nums: Optional[int] = field(default=9) |
| 57 | resume_from_checkpoint: Optional[bool] = field(default=False) |
| 58 | |
| 59 | |
| 60 | @dataclass |
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