---
library_name: peft
license: gemma
base_model: google/paligemma-3b-mix-448
tags:
- base_model:adapter:google/paligemma-3b-mix-448
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: paligemma-mix_3b_448_1epochs
  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-mix_3b_448_1epochs

This model is a fine-tuned version of [google/paligemma-3b-mix-448](https://huggingface.co/google/paligemma-3b-mix-448) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7704

## 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: 1e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.3666        | 0.1287 | 50   | 2.3686          |
| 2.177         | 0.2573 | 100  | 2.1345          |
| 2.0066        | 0.3860 | 150  | 1.9921          |
| 1.8921        | 0.5146 | 200  | 1.9018          |
| 1.7944        | 0.6433 | 250  | 1.8386          |
| 1.8052        | 0.7720 | 300  | 1.7945          |
| 1.7831        | 0.9006 | 350  | 1.7704          |


### Framework versions

- PEFT 0.18.0
- Transformers 4.57.3
- Pytorch 2.8.0+cu128
- Datasets 4.4.1
- Tokenizers 0.22.1