---
base_model: google/paligemma-3b-pt-224
library_name: peft
license: gemma
tags:
- generated_from_trainer
model-index:
- name: Paligemma_VQA_Histo
  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_VQA_Histo

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: 0.6948

## 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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.9658        | 0.9988 | 103  | 0.7493          |
| 0.6435        | 1.9976 | 206  | 0.7404          |
| 0.6274        | 2.9964 | 309  | 0.7182          |
| 0.6068        | 3.9952 | 412  | 0.6950          |
| 0.6028        | 4.9939 | 515  | 0.7121          |
| 0.5909        | 5.9927 | 618  | 0.6927          |
| 0.5844        | 6.9915 | 721  | 0.7075          |
| 0.5892        | 8.0    | 825  | 0.6910          |
| 0.571         | 8.9988 | 928  | 0.6977          |
| 0.5808        | 9.9879 | 1030 | 0.6948          |


### Framework versions

- PEFT 0.13.3.dev0
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0