The "microsoft/Orca-2-13b" model fully fine-tuned on HuggingFaceH4/no_robots, totally-not-an-llm/EverythingLM-data-V3, LDJnr/Capybara, LDJnr/Pure-Dove, LDJnr/LessWrong-Amplify-Instruct, LDJnr/Verified-Camel, mlabonne/guanaco-llama2-1k, and OpenAssistant/oasst_top1_2023-08-25. This model achieved a test loss of 0.39 on LDJnr/Verified-Camel.
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This model was trained on the ChatML prompt template.
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 56.15 |
| AI2 Reasoning Challenge (25-Shot) | 60.41 |
| HellaSwag (10-Shot) | 80.46 |
| MMLU (5-Shot) | 59.51 |
| TruthfulQA (0-shot) | 54.01 |
| Winogrande (5-shot) | 77.43 |
| GSM8k (5-shot) | 5.08 |
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Datasets used to train Locutusque/Orca-2-13b-SFT-v6
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard60.410
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard80.460
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard59.510
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard54.010
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard77.430
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard5.080