---
library_name: peft
base_model: mistral-community/pixtral-12b
tags:
- generated_from_trainer
model-index:
- name: trelis_chess
  results: []
---

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

This model is a fine-tuned version of [mistral-community/pixtral-12b](https://huggingface.co/mistral-community/pixtral-12b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3723

## 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: 3e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- num_epochs: 2

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 3.1927        | 0.4167 | 5    | 1.4520          |
| 1.39          | 0.8333 | 10   | 1.3222          |
| 0.5935        | 1.25   | 15   | 1.1814          |
| 0.4317        | 1.6667 | 20   | 1.3723          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.46.3
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3