---
library_name: peft
license: gemma
base_model: google/paligemma-3b-pt-224
tags:
- generated_from_trainer
model-index:
- name: paligemma_vqav2_2
  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. -->

# paligemma_vqav2_2

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: 0.5581

## 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: 4e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_HF with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 12

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| No log        | 0.9976  | 318  | 0.2860          |
| 0.7558        | 1.9984  | 637  | 0.2601          |
| 0.7558        | 2.9992  | 956  | 0.2659          |
| 0.1793        | 4.0     | 1275 | 0.2886          |
| 0.0897        | 4.9976  | 1593 | 0.3389          |
| 0.0897        | 5.9984  | 1912 | 0.4511          |
| 0.0378        | 6.9992  | 2231 | 0.5211          |
| 0.0187        | 8.0     | 2550 | 0.5399          |
| 0.0187        | 8.9976  | 2868 | 0.5451          |
| 0.0105        | 9.9984  | 3187 | 0.5496          |
| 0.0092        | 10.9992 | 3506 | 0.5579          |
| 0.0092        | 11.9718 | 3816 | 0.5581          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.46.2
- Pytorch 2.1.2.post304
- Datasets 3.1.0
- Tokenizers 0.20.3