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---
library_name: peft
license: gemma
base_model: google/paligemma-3b-pt-224
tags:
- generated_from_trainer
model-index:
- name: paligemma_vqav2
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_vqav2
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: 0.2576
## 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: 4
- total_train_batch_size: 32
- 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: 2
- num_epochs: 11
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| No log | 0.9976 | 318 | 0.4476 |
| 1.7322 | 1.9984 | 637 | 0.3353 |
| 1.7322 | 2.9992 | 956 | 0.3288 |
| 0.2942 | 4.0 | 1275 | 0.2902 |
| 0.219 | 4.9976 | 1593 | 0.2842 |
| 0.219 | 5.9984 | 1912 | 0.2551 |
| 0.189 | 6.9992 | 2231 | 0.2656 |
| 0.1596 | 8.0 | 2550 | 0.2686 |
| 0.1596 | 8.9976 | 2868 | 0.2524 |
| 0.138 | 9.9984 | 3187 | 0.2601 |
| 0.138 | 10.9741 | 3498 | 0.2576 |
### Framework versions
- PEFT 0.13.2
- Transformers 4.46.2
- Pytorch 2.1.2.post304
- Datasets 3.1.0
- Tokenizers 0.20.3 |