---
base_model: google/paligemma-3b-mix-448
library_name: peft
license: gemma
tags:
- generated_from_trainer
model-index:
- name: resultsrocogoogle_paligemma-3b-mix-448__fullrun__0111-165804
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# resultsrocogoogle_paligemma-3b-mix-448__fullrun__0111-165804

This model is a fine-tuned version of [google/paligemma-3b-mix-448](https://huggingface.co/google/paligemma-3b-mix-448) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0471

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 2.1353        | 0.9998 | 2044  | 2.1582          |
| 2.0695        | 1.9996 | 4088  | 2.0904          |
| 2.0833        | 2.9999 | 6133  | 2.0631          |
| 1.9914        | 3.9998 | 8177  | 2.0488          |
| 1.9621        | 4.9996 | 10221 | 2.0409          |
| 1.8801        | 5.9999 | 12266 | 2.0344          |
| 1.9081        | 6.9997 | 14310 | 2.0336          |
| 1.8805        | 8.0    | 16355 | 2.0353          |
| 1.909         | 8.9998 | 18399 | 2.0369          |
| 1.8255        | 9.9982 | 20440 | 2.0471          |


### Framework versions

- PEFT 0.13.0
- Transformers 4.45.1
- Pytorch 2.3.0.post101
- Datasets 2.19.1
- Tokenizers 0.20.0