---
base_model: google/paligemma-3b-pt-224
library_name: peft
license: gemma
tags:
- generated_from_trainer
model-index:
- name: paligemma_newslakeandmadvqa_conbime
  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_newslakeandmadvqa_conbime

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: 1.0349

## 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: 10
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 40
- optimizer: Use OptimizerNames.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: 900
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 5.6592        | 0.1768 | 100  | 5.9832          |
| 5.1792        | 0.3535 | 200  | 4.5564          |
| 3.6303        | 0.5303 | 300  | 3.2205          |
| 2.8756        | 0.7070 | 400  | 2.5592          |
| 2.3211        | 0.8838 | 500  | 2.1059          |
| 1.9172        | 1.0605 | 600  | 1.8195          |
| 1.7352        | 1.2373 | 700  | 1.6310          |
| 1.621         | 1.4141 | 800  | 1.4883          |
| 1.4855        | 1.5908 | 900  | 1.3832          |
| 1.4496        | 1.7676 | 1000 | 1.2959          |
| 1.2769        | 1.9443 | 1100 | 1.2350          |
| 1.2199        | 2.1211 | 1200 | 1.1831          |
| 1.2619        | 2.2978 | 1300 | 1.1391          |
| 1.1412        | 2.4746 | 1400 | 1.0943          |
| 1.0869        | 2.6513 | 1500 | 1.0589          |
| 1.123         | 2.8281 | 1600 | 1.0349          |


### Framework versions

- PEFT 0.13.0
- Transformers 4.46.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0