Comments (2)
- padding成一行不会OOM,据说是因为 flash attention 底层是一个一个样本计算的不会强行一起算
- pad_token 为了绕过 transformers 的检测机制,没有 0 传入值会被抛弃
- hf 默认不支持,需要自己hack (openrlhf/models/packing_utils.py)
- positions_ids 对于 rope 这种相对位置编码不传也可以,直接默认 0 - n (也可以自己计算0~n传入)【我们只支持了这种编码,其他编码flash attention/hf hack相关代码 也没支持呀】
from openrlhf.
多谢告知。
from openrlhf.
Related Issues (20)
- DPO Finetuning constantly gives preference loss as 0.6931 HOT 8
- Difference between `DeepSpeedEngine.save_checkpoint()` and `DeepSpeedStrategy.save_model()` HOT 2
- DPO后的模型推理出的结果都是无序符号 HOT 1
- Support training from breakpoint HOT 3
- llama3 70B DPO example script
- where is gradient_accumulation HOT 1
- Support RLOO HOT 1
- 现在Train_PPO_llama_ray 过程中会把Actor Model切分到不同卡上吗 HOT 4
- ConnectionRefusedError: [Errno 111] Connection refused HOT 5
- "right" padding hardcoded HOT 3
- Error while saving the model under 4bit lora HOT 2
- multinode ppo training extremely slow HOT 15
- 使用ray的时候Request Entity Too Large HOT 3
- dpo 训练显存 OOM HOT 1
- Online DPO 支持 HOT 4
- Feature: add DPO-P
- Zero stage 3 error HOT 1
- Performance of Iterative DPO? HOT 1
- Why multiplying rstd instead of dividing by rstd? HOT 1
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