---
base_model: google/paligemma-3b-mix-224
library_name: peft
license: gemma
tags:
- generated_from_trainer
model-index:
- name: results__fullrun__0710-151659
  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__0710-151659

This model is a fine-tuned version of [google/paligemma-3b-mix-224](https://huggingface.co/google/paligemma-3b-mix-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.9365

## 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: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 2.6543        | 0.9952  | 180  | 2.5976          |
| 2.3815        | 1.9959  | 361  | 2.4431          |
| 2.202         | 2.9965  | 542  | 2.3760          |
| 2.0724        | 3.9972  | 723  | 2.3569          |
| 1.9581        | 4.9979  | 904  | 2.3635          |
| 1.8454        | 5.9986  | 1085 | 2.3840          |
| 1.7332        | 6.9993  | 1266 | 2.4254          |
| 1.6564        | 8.0     | 1447 | 2.4647          |
| 1.5437        | 8.9952  | 1627 | 2.5172          |
| 1.4799        | 9.9959  | 1808 | 2.5699          |
| 1.4155        | 10.9965 | 1989 | 2.6371          |
| 1.3326        | 11.9972 | 2170 | 2.7292          |
| 1.2682        | 12.9979 | 2351 | 2.7818          |
| 1.2501        | 13.9986 | 2532 | 2.8409          |
| 1.1692        | 14.9993 | 2713 | 2.8931          |
| 1.166         | 16.0    | 2894 | 2.9522          |
| 1.0736        | 16.9952 | 3074 | 3.0303          |
| 1.0849        | 17.9959 | 3255 | 3.0626          |
| 1.0453        | 18.9965 | 3436 | 3.1208          |
| 0.9778        | 19.9972 | 3617 | 3.1514          |
| 0.9626        | 20.9979 | 3798 | 3.2182          |
| 0.9285        | 21.9986 | 3979 | 3.2926          |
| 0.9047        | 22.9993 | 4160 | 3.3494          |
| 0.8471        | 24.0    | 4341 | 3.3960          |
| 0.8123        | 24.9952 | 4521 | 3.4674          |
| 0.7798        | 25.9959 | 4702 | 3.5216          |
| 0.762         | 26.9965 | 4883 | 3.6214          |
| 0.7284        | 27.9972 | 5064 | 3.6831          |
| 0.6922        | 28.9979 | 5245 | 3.6883          |
| 0.6732        | 29.9986 | 5426 | 3.7731          |
| 0.6575        | 30.9993 | 5607 | 3.8512          |
| 0.608         | 32.0    | 5788 | 3.9272          |
| 0.5817        | 32.9952 | 5968 | 3.9129          |
| 0.5567        | 33.9959 | 6149 | 4.0213          |
| 0.5448        | 34.9965 | 6330 | 4.0896          |
| 0.5159        | 35.9972 | 6511 | 4.1160          |
| 0.4992        | 36.9979 | 6692 | 4.1914          |
| 0.4644        | 37.9986 | 6873 | 4.2932          |
| 0.4412        | 38.9993 | 7054 | 4.3430          |
| 0.4619        | 40.0    | 7235 | 4.4002          |
| 0.4155        | 40.9952 | 7415 | 4.3920          |
| 0.3948        | 41.9959 | 7596 | 4.5190          |
| 0.3714        | 42.9965 | 7777 | 4.5420          |
| 0.3536        | 43.9972 | 7958 | 4.6237          |
| 0.3402        | 44.9979 | 8139 | 4.6591          |
| 0.3336        | 45.9986 | 8320 | 4.7309          |
| 0.3026        | 46.9993 | 8501 | 4.7661          |
| 0.2914        | 48.0    | 8682 | 4.8383          |
| 0.2711        | 48.9952 | 8862 | 4.8839          |
| 0.2498        | 49.7581 | 9000 | 4.9365          |


### Framework versions

- PEFT 0.13.0
- Transformers 4.45.1
- Pytorch 2.3.0.post101
- Datasets 2.19.1
- Tokenizers 0.19.1