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

# code-extraction

This model is a fine-tuned version of [google/paligemma-3b-pt-224](https://huggingface.co/google/paligemma-3b-pt-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2910

## 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: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 2

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.1102        | 0.1064 | 10   | 0.9836          |
| 0.9563        | 0.2128 | 20   | 0.8361          |
| 0.8725        | 0.3191 | 30   | 0.7021          |
| 0.8441        | 0.4255 | 40   | 0.5871          |
| 0.6958        | 0.5319 | 50   | 0.5101          |
| 0.6931        | 0.6383 | 60   | 0.4598          |
| 0.5352        | 0.7447 | 70   | 0.4224          |
| 0.4966        | 0.8511 | 80   | 0.3931          |
| 0.6237        | 0.9574 | 90   | 0.3646          |
| 0.4289        | 1.0638 | 100  | 0.3423          |
| 0.5224        | 1.1702 | 110  | 0.3226          |
| 0.5532        | 1.2766 | 120  | 0.3140          |
| 0.3561        | 1.3830 | 130  | 0.3053          |
| 0.3985        | 1.4894 | 140  | 0.3027          |
| 0.39          | 1.5957 | 150  | 0.2992          |
| 0.3741        | 1.7021 | 160  | 0.2943          |
| 0.2028        | 1.8085 | 170  | 0.2898          |
| 0.3935        | 1.9149 | 180  | 0.2910          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1