---
base_model: google/paligemma-3b-mix-448
library_name: peft
license: gemma
tags:
- generated_from_trainer
model-index:
- name: resultsroco__captions__google_paligemma-3b-mix-448__fullrun__2911-095336
  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. -->

# resultsroco__captions__google_paligemma-3b-mix-448__fullrun__2911-095336

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: 2.6451

## 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: 16
- 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 2.8798        | 0.9998 | 1022  | 2.8440          |
| 2.7474        | 1.9996 | 2044  | 2.7501          |
| 2.6883        | 2.9994 | 3066  | 2.7063          |
| 2.6667        | 3.9993 | 4088  | 2.6809          |
| 2.5908        | 4.9991 | 5110  | 2.6667          |
| 2.6089        | 5.9999 | 6133  | 2.6562          |
| 2.5774        | 6.9997 | 7155  | 2.6467          |
| 2.5092        | 7.9995 | 8177  | 2.6429          |
| 2.5263        | 8.9993 | 9199  | 2.6425          |
| 2.4526        | 9.9982 | 10220 | 2.6451          |


### Framework versions

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