Comments (1)
Hi, @mst272. The PPOv2Trainer
is the new experimental PPO trainer we now recommend to the users. It's a refactor of PPOTrainer
and PPOv2Trainer
introduces more uniform APIs, better logging, documentations, and more benchmark results.
from trl.
Related Issues (20)
- DPODataCollatorWithPadding doesn't mask the prompts
- [BUG] TRL CLI not capturing `torch_dtype` correctly HOT 1
- Question about apply_chat_template in examples HOT 7
- Misuse of gen_len in examples/notebooks/gpt2-sentiment.ipynb
- DataCollatorForCompletionOnlyLM does not work with FSDP
- PPOv2 trainer, the wandb log is unnormal HOT 8
- Using IterableDataset crashed the SFTTrainer
- Neftune is applied twice; in trl and transformers BOTH! HOT 1
- SFTTrainer device error even though it doesn't take device as an argument
- Can bert be used for dpo training?
- Want to use zero3 to train KTO and met error
- DDPO trained model error when used to generate images HOT 1
- Getting "KeyError: None" when passing conversational dataset HOT 1
- The DPO 'grad_norm': 0.0,
- Conflict in start index under `batched_forward_pass`
- Clarification on reward/value heads in PPOV2 HOT 3
- Supports of SFTTrainer / PPOTrainer / DPOTrainer for LLaVA-alike model HOT 5
- Error with SFT of LLaVA-Next HOT 2
- Lora seems to be invalid when using vsft_llava.py HOT 4
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from trl.