Comments (4)
Coming soon - see #53!
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That's Great , waiting for GPT-J to learn through human feedback ?
But what in your thought, Bert classifier will be able to reward the text generated ?? Or there will be any other reward model who can give the score for the generated task.
from trl.
Are we able to use any Causal LLM from the model hub now that #53 is merged?
from trl.
Yes, that should work!
from trl.
Related Issues (20)
- PPOTrainer Appears to incorrectly handle `pad_token_id` HOT 1
- Prompt format clarification for ORPO
- TrlParser not working
- excessive RAM usage with quantized base model and LORA with SFTTrainer HOT 3
- ValueError: The model is offloaded on CPU or disk - CPU & disk offloading is not supported for ValueHead models. HOT 1
- Warning message in `DataCollatorForCompletionOnlyLM` is misleading when only `response_template` is missing in the batch
- `RichProgressCallback` would break model evaluation and prediction HOT 1
- Multi-GPU Training with DPO Full Parameter Stucks
- UserWarning: Could not find a config file
- concatenated_forward when self.ref_model is not provided HOT 1
- which model should i choose if i wanna try DPO algorithm?
- PPOTrainer behavior with `device_map = "auto"` HOT 1
- None ref_model in ppo train
- FSDP/ZeRO3 Support for QLoRA in DPO?
- Use `SFTTrainer` for completion-only model without `DataCollatorForCompletionOnlyLM`
- `disable_dropout` not used in KTOTrainer
- [question] how to apply model parallism to solve cuda memory error HOT 6
- misleading warning message HOT 1
- How should I set the SFT label? HOT 1
- dpo cli command error HOT 5
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