---
library_name: peft
license: gemma
base_model: google/paligemma-3b-pt-224
tags:
- generated_from_trainer
model-index:
- name: pali_191805
  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. -->

# pali_191805

This model is a fine-tuned version of [google/paligemma-3b-pt-224](https://huggingface.co/google/paligemma-3b-pt-224) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8563

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 5

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 18.2133       | 0.0444 | 50   | 1.7766          |
| 11.9694       | 0.0889 | 100  | 1.3043          |
| 9.7625        | 0.1333 | 150  | 1.1940          |
| 9.0576        | 0.1778 | 200  | 1.1325          |
| 9.3286        | 0.2222 | 250  | 1.0906          |
| 8.5435        | 0.2667 | 300  | 1.0586          |
| 8.2508        | 0.3111 | 350  | 1.0357          |
| 8.3642        | 0.3556 | 400  | 1.0151          |
| 8.0343        | 0.4    | 450  | 0.9982          |
| 8.1537        | 0.4444 | 500  | 0.9818          |
| 7.6705        | 0.4889 | 550  | 0.9672          |
| 7.6794        | 0.5333 | 600  | 0.9557          |
| 7.3842        | 0.5778 | 650  | 0.9470          |
| 7.5392        | 0.6222 | 700  | 0.9343          |
| 7.3926        | 0.6667 | 750  | 0.9233          |
| 7.5391        | 0.7111 | 800  | 0.9141          |
| 7.3299        | 0.7556 | 850  | 0.9053          |
| 7.3423        | 0.8    | 900  | 0.8974          |
| 7.4747        | 0.8444 | 950  | 0.8911          |
| 7.252         | 0.8889 | 1000 | 0.8832          |
| 7.1392        | 0.9333 | 1050 | 0.8783          |
| 6.9769        | 0.9778 | 1100 | 0.8719          |
| 7.0285        | 1.0222 | 1150 | 0.8665          |
| 6.8336        | 1.0667 | 1200 | 0.8613          |
| 6.748         | 1.1111 | 1250 | 0.8563          |


### Framework versions

- PEFT 0.14.0
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1