Comments (4)
Hiusam
commented on May 18, 2024
2
Hi, do you fine-tune the model using Next Token Prediction as the pre-training? And how much CUDA memory does the training cost? Is it possible to do the training using only one 80G A100 GPU?
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lxuechen
commented on May 18, 2024
1
Hi, thanks for your interest!
We will release the training code once the Hugging Face interface to LLaMA becomes stable (merged into main).
Our fine-tuning procedure is standard and was performed with huggingface's trainer. You can see our hyperparameters here.
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rtaori
commented on May 18, 2024
Hi all,
We have released the training code, see https://github.com/tatsu-lab/stanford_alpaca#fine-tuning. Please open a new issue for any further questions/concerns.
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pGit1
commented on May 18, 2024
@rtaori as far as I can tell from your code it looks like standard teacher forcing (aka next token prediction), is this accurate?
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Related Issues (20)
- DeepSpeed compilation (cpu_adam issue)
- incorrect model_max_length HOT 1
- BUG: "labels" information leakage into "input_ids" fields - incorrect attention_mask HOT 1
- [Windows]: RuntimeError: Distributed package doesn't have NCCL built in
- How to provide extra contexrt as a pdf file?
- Python bindings and text classification & summarisation tasks
- Question about padding the input sequence HOT 3
- Wonder how to inference after finetuning.
- How to finetune with a own private data and then build chatbot on that? HOT 1
- Utilize regen.json in finetuning
- Loss will suddenly turn 0 during SFT HOT 2
- Confusion about instruction task HOT 1
- AttributeError: 'ModelArguments' object has no attribute 'target_modules'
- Can you release your evaluation code and data?
- How to get the model
- ImportError when using `weight_diff.py` script HOT 2
- weight_diff.py state_dict_recovered[key].add_(state_dict_raw[key]) RuntimeError: The size of tensor a (32001) must match the size of tensor b (32000) at non-singleton dimension 0 HOT 2
- Problems generating my own data offline
- NotImplementedError: offload_to_cpu=True and NO_SHARD is not supported yet HOT 1
- The arugment order of Rouge score might be wrong.
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