Download models/src/training/params.py from litwell/EVA-qwen: direct link, hf CLI and curl.
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https://huggingface.co/litwell/EVA-qwen/resolve/main/models/src/training/params.py
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curl -L -o params.py https://huggingface.co/litwell/EVA-qwen/resolve/main/models/src/training/params.py
2.33 kB
| from dataclasses import dataclass, field | |
| from typing import Optional | |
| from transformers import TrainingArguments | |
| class ModelArguments: | |
| model_id: Optional[str] = field(default="Qwen/Qwen2-VL-7B-Instruct") | |
| class TrainingArguments(TrainingArguments): | |
| cache_dir: Optional[str] = field(default=None) | |
| optim: str = field(default="adamw_torch") | |
| adam_beta1: float = field(default=0.9) | |
| adam_beta2: float = field(default=0.999) | |
| adam_epsilon: float = field(default=1e-8) | |
| freeze_vision_tower: bool = field(default=False) | |
| freeze_llm: bool = field(default=False) | |
| tune_merger: bool = field(default=False) | |
| disable_flash_attn2: bool = field(default=False) | |
| max_seq_length: int = field( | |
| default=32768, # This is the default value of the qwen2-vl model | |
| metadata={ | |
| "help": | |
| "Maximum sequence length. Sequences will be right padded (and possibly truncated)." | |
| }, | |
| ) | |
| double_quant: bool = field( | |
| default=True, | |
| metadata={"help": "Compress the quantization statistics through double quantization."} | |
| ) | |
| quant_type: str = field( | |
| default="nf4", | |
| metadata={"help": "Quantization data type to use. Should be one of `fp4` or `nf4`."} | |
| ) | |
| bits: int = field( | |
| default=16, | |
| metadata={"help": "How many bits to use."} | |
| ) | |
| lora_enable: bool = False | |
| vision_lora: bool = False | |
| use_dora: bool = False | |
| lora_rank: int = 64 | |
| lora_alpha: int = 16 | |
| lora_dropout: float = 0.05 | |
| lora_weight_path: str = "" | |
| lora_bias: str = "none" | |
| vision_lr: Optional[float] = None | |
| merger_lr: Optional[float] = None | |
| lora_namespan_exclude: str = field(default=None, metadata={"help": "List of namespan to exclude for LoRA"}) | |
| num_lora_modules: int = -1 | |
| use_liger: bool = True | |
| class DataArguments: | |
| data_path: str = field( | |
| default=None, metadata={"help": "Path to the training data."} | |
| ) | |
| lazy_preprocess: bool = False | |
| image_folder: Optional[str] = field(default=None) | |
| image_min_pixels: Optional[int] = field(default=3136) | |
| image_max_pixels: Optional[int] = field(default=12845056) | |
| video_min_pixels: Optional[int] = field(default=100352) | |
| video_max_pixels: Optional[int] = field(default=602112) | |
| fps: float = 1.0 |