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* [Feature] Support import configs/models/summarizers from whl * Update LCBench configs * Update * Update * Update * Update * update * Update * Update * Update * Update * Update
27 lines
767 B
Markdown
27 lines
767 B
Markdown
# Inference-PPL Datasets
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- **Description**: Compute the loss only on the labeled positions, especially used for reasoning corpus.
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- **Datasets**: cn-reasoning-val.jsonl (example datasets, inference-ppl can be generalized to more corpus).
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# PPL Computation
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$$ \text{ppl} = - \frac{1}{n} \sum_{i=0}^n \sum_{c=0}^{vocab\_size} y_{i,c} \log p_{i,c} \tag{1} $$
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where Eq. (1) is the normal mean ppl computation formula, for inference-ppl, we only compute the average score based on pre-labeled position.
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# Quick Start
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```shell
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cd opencompass
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python run.py configs/eval_inference_ppl.py
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```
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# Some results
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| Model | Result |
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| ----------- | ----------- |
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| Qwen1.5-7b | 0.59 |
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| Qwen1.5-14b | 0.54 |
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| Llama2-7b | 0.49 |
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| Llama2-13b | 0.43 |
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