---
library_name: transformers
license: gemma
base_model: google/paligemma-3b-pt-224
tags:
- generated_from_trainer
model-index:
- name: paligemma_racer_fp32
  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_racer_fp32

This model is a fine-tuned version of [google/paligemma-3b-pt-224](https://huggingface.co/google/paligemma-3b-pt-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5338

## 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: 16
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Use adamw_hf 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: 1000
- num_epochs: 2

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 3.942         | 0.1674 | 100  | 3.2672          |
| 2.8843        | 0.3349 | 200  | 2.7924          |
| 2.675         | 0.5023 | 300  | 2.6303          |
| 2.5428        | 0.6697 | 400  | 2.5909          |
| 2.5034        | 0.8372 | 500  | 2.5196          |
| 2.4216        | 1.0046 | 600  | 2.5330          |
| 2.377         | 1.1720 | 700  | 2.5048          |
| 2.3428        | 1.3395 | 800  | 2.5692          |
| 2.3453        | 1.5069 | 900  | 2.5152          |
| 2.3258        | 1.6743 | 1000 | 2.5434          |
| 2.2206        | 1.8418 | 1100 | 2.5338          |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1
- Datasets 3.1.0
- Tokenizers 0.20.3