---
library_name: transformers
license: gemma
base_model: google/paligemma-3b-pt-224
tags:
- generated_from_trainer
model-index:
- name: results_solo_good_fold_3_pt
  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. -->

# results_solo_good_fold_3_pt

This model is a fine-tuned version of [google/paligemma-3b-pt-224](https://huggingface.co/google/paligemma-3b-pt-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1706

## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.2222        | 1.0   | 2091  | 0.1874          |
| 0.2177        | 2.0   | 4182  | 0.1752          |
| 0.1985        | 3.0   | 6273  | 0.1770          |
| 0.2127        | 4.0   | 8364  | 0.1783          |
| 0.2038        | 5.0   | 10455 | 0.1725          |
| 0.1984        | 6.0   | 12546 | 0.1706          |
| 0.1982        | 7.0   | 14637 | 0.1723          |
| 0.203         | 8.0   | 16728 | 0.1725          |
| 0.1915        | 9.0   | 18819 | 0.1724          |
| 0.1967        | 10.0  | 20910 | 0.1715          |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.1.2+cu121
- Tokenizers 0.21.0