---
license: gemma
base_model: google/paligemma-3b-pt-224
tags:
- generated_from_trainer
model-index:
- name: paligemma-3b-224-ft-vizwiztxtvqa
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# paligemma-3b-224-ft-vizwiztxtvqa

This model is a fine-tuned version of [google/paligemma-3b-pt-224](https://huggingface.co/google/paligemma-3b-pt-224) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2252

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7729        | 1.0   | 134  | 0.8734          |
| 0.2513        | 2.0   | 268  | 0.9472          |
| 0.0574        | 3.0   | 402  | 1.0768          |
| 0.0308        | 4.0   | 536  | 1.1988          |
| 0.0065        | 5.0   | 670  | 1.2252          |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.2.2+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1