Trained on 2 epochs on the EverythingLM-data-V3 dataset.
This model uses the alpaca prompt format:
Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.
### Instruction:
Instruction
### Input:
Input
### Response:
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 40.62 |
| AI2 Reasoning Challenge (25-Shot) | 42.75 |
| HellaSwag (10-Shot) | 71.72 |
| MMLU (5-Shot) | 27.16 |
| TruthfulQA (0-shot) | 34.26 |
| Winogrande (5-shot) | 66.30 |
| GSM8k (5-shot) | 1.52 |
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Dataset used to train harborwater/open-llama-3b-everythingLM-2048
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard42.750
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard71.720
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard27.160
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard34.260
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard66.300
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard1.520