---
base_model:
- HuggingFaceTB/cosmo-1b
- Lambent/cosmo-1b-galore-pythontest
- Lambent/cosmo-1b-qlora-pythontest
- Lambent/cosmo-1b-lisa-pythontest
library_name: transformers
tags:
- mergekit
- merge

---
# pythontestmerge

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

Testing training data validation:

* Model Stock 3/4 Loss: 0.451

My hypothesis that the pretraining was dragging down the stock merge's performance on training data in any way seems inaccurate.

Cosmopedia data validation:

* Model Stock 3/4 Loss: 1.021

On the other hand, it indeed may have pulled it towards forgetfulness.
This is a better loss vs catastrophic forgetting than the prior Model Stock or any of the training methods.

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.
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.

## Merge Details
### Merge Method

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.

### Models Merged

The following models were included in the merge:
* [Lambent/cosmo-1b-galore-pythontest](https://huggingface.co/Lambent/cosmo-1b-galore-pythontest)
* [Lambent/cosmo-1b-qlora-pythontest](https://huggingface.co/Lambent/cosmo-1b-qlora-pythontest)
* [Lambent/cosmo-1b-lisa-pythontest](https://huggingface.co/Lambent/cosmo-1b-lisa-pythontest)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: Lambent/cosmo-1b-lisa-pythontest
  - model: Lambent/cosmo-1b-qlora-pythontest
  - model: Lambent/cosmo-1b-galore-pythontest
base_model: HuggingFaceTB/cosmo-1b
merge_method: model_stock
parameters:
  filter_wise: false
dtype: float16

```