Coder1.8-ORPO-TEST
Model Description
Test model for ORPO finetune method, trained on ~20k code examples for 1 epoch on 2 x A40 cards with 4-bit QLora (lora rank=lora alpha=16).
Disclaimer
This is a test model and may generate incorrect responses. Use at your own risk.
Train Details
- Base: Qwen1.5-1.8B
- Training Data: ~20k code examples
- Epochs: 1
- Method: ORPO
- Hardware: 2 x A40
- Quantization: 4-bit QLora
- Lora Rank/Alpha: 16
Limitations
Limited training data and quantization may impact performance.
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Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 45.76 |
| AI2 Reasoning Challenge (25-Shot) | 38.82 |
| HellaSwag (10-Shot) | 60.48 |
| MMLU (5-Shot) | 46.70 |
| TruthfulQA (0-shot) | 41.38 |
| Winogrande (5-shot) | 59.75 |
| GSM8k (5-shot) | 27.45 |
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Dataset used to train raincandy-u/Coder1.8-ORPO-TEST
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard38.820
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard60.480
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard46.700
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard41.380
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard59.750
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard27.450