| 51 | |
| 52 | @dataclass |
| 53 | class TrainingArguments(transformers.TrainingArguments): |
| 54 | cache_dir: Optional[str] = field(default=None) |
| 55 | optim: str = field(default="adamw_torch") |
| 56 | model_max_length: int = field( |
| 57 | default=512, |
| 58 | metadata={ |
| 59 | "help": "Maximum sequence length. Sequences will be right padded (and possibly truncated)." |
| 60 | }, |
| 61 | ) |
| 62 | min_lr: float = field( |
| 63 | default = None |
| 64 | ) |
| 65 | mask_user: bool = field( |
| 66 | default = True |
| 67 | ) |
| 68 | |
| 69 | |
| 70 | local_rank = None |
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