Comments (1)
We did not explicitly make the format consistent to let the model generalize out of the domain. The inference format for HumanEval is to speed up the inference and transform a completion style to instruction style.
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Related Issues (20)
- So many impressive experiments ! Are there any experiments with neftune ? HOT 1
- The correctness of solution HOT 1
- used Dilated attenton instead of Vanilla Attention in Llama model and fine-tuen the model ,
- How do you set the 'stop_words' parameter
- Are the training loss and validation loss recorded? HOT 4
- Data collection and generation HOT 1
- Got same problem that model only return lots of '\n' HOT 5
- Achieved close performance of MagicoderS by finetuning only with `evol-codealpaca-v1`. HOT 8
- A scaling law of instruction-code-data would be very interesting... HOT 3
- catastrophic forgetting problem HOT 1
- 8台A40机器上复现magicoder-S-DS-6.7B的结果
- Is it normal to take more than one hour to get the humanevalplus results?
- HuggingFace Playground has failed
- Quantised Finetuning on 22GB*4 GPUs
- A question of the generated data from the starcoderdata HOT 2
- Overlap between Magicoder-Evol-Instruct-110K and HumanEval HOT 2
- Code for the evaluations on APPS.
- Inquiry about Paper Details of Magicoder
- Question about the different replication result
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