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--- |
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base_model: |
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- HuggingFaceTB/cosmo-1b |
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- Lambent/cosmo-1b-galore-pythontest |
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- Lambent/cosmo-1b-qlora-pythontest |
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- Lambent/cosmo-1b-lisa-pythontest |
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library_name: transformers |
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tags: |
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- mergekit |
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- merge |
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--- |
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# pythontestmerge |
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). |
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Testing training data validation: |
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* Model Stock 3/4 Loss: 0.451 |
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My hypothesis that the pretraining was dragging down the stock merge's performance on training data in any way seems inaccurate. |
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Cosmopedia data validation: |
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* Model Stock 3/4 Loss: 1.021 |
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On the other hand, it indeed may have pulled it towards forgetfulness. |
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This is a better loss vs catastrophic forgetting than the prior Model Stock or any of the training methods. |
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I'm going to estimate that using the base model as an anchor point is a strong remedy for catastrophic forgetting when using multiple different training methods on the same dataset. |
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Less sure I can say anything about how it affects adaptation to the new dataset. It's possible that if using this method, you'd want louder/stronger adaptation to start with than you otherwise would. |
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## Merge Details |
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### Merge Method |
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This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [HuggingFaceTB/cosmo-1b](https://huggingface.co/HuggingFaceTB/cosmo-1b) as a base. |
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### Models Merged |
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The following models were included in the merge: |
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* [Lambent/cosmo-1b-galore-pythontest](https://huggingface.co/Lambent/cosmo-1b-galore-pythontest) |
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* [Lambent/cosmo-1b-qlora-pythontest](https://huggingface.co/Lambent/cosmo-1b-qlora-pythontest) |
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* [Lambent/cosmo-1b-lisa-pythontest](https://huggingface.co/Lambent/cosmo-1b-lisa-pythontest) |
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### Configuration |
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The following YAML configuration was used to produce this model: |
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```yaml |
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models: |
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- model: Lambent/cosmo-1b-lisa-pythontest |
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- model: Lambent/cosmo-1b-qlora-pythontest |
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- model: Lambent/cosmo-1b-galore-pythontest |
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base_model: HuggingFaceTB/cosmo-1b |
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merge_method: model_stock |
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parameters: |
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filter_wise: false |
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dtype: float16 |
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``` |
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