---
base_model: google/paligemma-3b-ft-widgetcap-448
library_name: peft
license: gemma
tags:
- generated_from_trainer
model-index:
- name: paligemma-3b-ft-widgetcap-waveui-448
  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. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/kentauros/paligemma-waveui/runs/hfa841vp)
# paligemma-3b-ft-widgetcap-waveui-448

This model is a fine-tuned version of [google/paligemma-3b-ft-widgetcap-448](https://huggingface.co/google/paligemma-3b-ft-widgetcap-448) on an unknown dataset.

## 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: 0.0001
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 3

### Training results



### Framework versions

- PEFT 0.11.1
- Transformers 4.43.2
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1