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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# fine-tuned-model

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:
- eval_loss: 1.4113
- eval_runtime: 29.753
- eval_samples_per_second: 3.832
- eval_steps_per_second: 0.504
- epoch: 0.3605
- step: 5130

## 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: 8
- eval_batch_size: 8
- 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: 1

### Framework versions

- PEFT 0.13.2
- Transformers 4.46.3
- Pytorch 2.4.1
- Datasets 3.1.0
- Tokenizers 0.20.4