---
library_name: peft
license: mit
base_model: google/paligemma-3b-pt-224
tags:
- generated_from_trainer
- vlm
- PaliGemma
- LoRA
- PEFT
model-index:
- name: paligemma_intersections
  results: []
datasets:
- ariG23498/intersection-dataset
language:
- en
---

<!-- 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. -->

## Model description

This model is a fine-tuned version of [google/paligemma-3b-pt-224](https://huggingface.co/google/paligemma-3b-pt-224) on [ariG23498/intersection-dataset](https://huggingface.co/datasets/ariG23498/intersection-dataset).





## Training procedure

Finetuning done using (LoRA) PEFT method. Rank = 8 choosen.

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Use OptimizerNames.ADAMW_BNB 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: 2


### Framework versions

- PEFT 0.14.0
- Transformers 4.50.2
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1