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--- |
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library_name: transformers |
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tags: |
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- code |
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- not-for-all-audiences |
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license: apache-2.0 |
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datasets: |
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- Locutusque/hercules-v1.0 |
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- Open-Orca/OpenOrca |
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language: |
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- en |
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base_model: mistralai/Mistral-7B-v0.1 |
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--- |
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# Hercules-1.0-Mistral-7B |
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## Model description |
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Hercules-1.0-Mistral-7B is a fine-tune of the Mistral 7B model. |
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Designed to be a turbo-charged version of teknium's OpenHermes through augmented data sources. This model outperforms OpenHermes-7B by 8 points on average, and OpenHermes-13B by 4 points on average. I will continue working on this model to hopefully outperform OpenHermes 2.5. |
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This model is on par with OpenHermes 2. |
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Apart from higher performance over OpenHermes, this model has data and training transparency for reproducibility. |
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You can learn more about the Hercules dataset here:  |
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During training, the dataset is split into a test set of 100 examples. At the end of training (120,000 examples), this model achieved a test loss of 0.57. |
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### Training details |
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- This model was trained on 8 kaggle TPUs, using torch xla SPMD for high MXU efficiency. There was no expense on my end (meaning you can reproduce this too!) |
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- A learning rate of 2e-06 with the Adam optimizer. No LR scheduler was used. A low learning rate was used to prevent exploding gradients. |
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- No mixed precision was used, with the default dtype being bfloat16. |
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- Trained on both full subsets of OpenOrca, and 120,000 examples of Hercules. (If you wish to reproduce this model, you can limit redundancy by fine-tuning Open-Orca/Mistral-7B-OpenOrca on Hercules-v1.0) |
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- No model parameters were frozen. |
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- This model was trained on OpenAI's ChatML prompt format. |
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## Inference examples |
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