---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: LoneStriker/BioMistral-7B-SLERP-GPTQ
model-index:
- name: biomistral-gptq-ft
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# biomistral-gptq-ft

This model is a fine-tuned version of [LoneStriker/BioMistral-7B-SLERP-GPTQ](https://huggingface.co/LoneStriker/BioMistral-7B-SLERP-GPTQ) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3391

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9096        | 1.0   | 62   | 1.3700          |
| 1.3713        | 1.99  | 124  | 1.3455          |
| 1.3253        | 2.99  | 186  | 1.3391          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2