---
base_model: google/paligemma-3b-mix-448
library_name: peft
license: gemma
tags:
- generated_from_trainer
model-index:
- name: results__fullrun__2110-104610
  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. -->

# results__fullrun__2110-104610

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: 3.2421

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 2
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 2.6855        | 0.9952  | 180  | 2.6276          |
| 2.4044        | 1.9959  | 361  | 2.4716          |
| 2.2275        | 2.9965  | 542  | 2.4070          |
| 2.092         | 3.9972  | 723  | 2.3871          |
| 1.9761        | 4.9979  | 904  | 2.3929          |
| 1.8674        | 5.9986  | 1085 | 2.4194          |
| 1.7501        | 6.9993  | 1266 | 2.4726          |
| 1.6706        | 8.0     | 1447 | 2.5062          |
| 1.5599        | 8.9952  | 1627 | 2.5492          |
| 1.4896        | 9.9959  | 1808 | 2.6080          |
| 1.4289        | 10.9965 | 1989 | 2.6687          |
| 1.3458        | 11.9972 | 2170 | 2.7300          |
| 1.2746        | 12.9979 | 2351 | 2.7933          |
| 1.2656        | 13.9986 | 2532 | 2.8295          |
| 1.1751        | 14.9993 | 2713 | 2.9203          |
| 1.1792        | 16.0    | 2894 | 2.9811          |
| 1.0851        | 16.9952 | 3074 | 3.0481          |
| 1.0966        | 17.9959 | 3255 | 3.0981          |
| 1.0581        | 18.9965 | 3436 | 3.1394          |
| 1.0055        | 19.9032 | 3600 | 3.2421          |


### Framework versions

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