---
license: gemma
library_name: peft
tags:
- generated_from_trainer
base_model: google/paligemma-3b-pt-224
model-index:
- name: Abhishek-PaliGemma-FT
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Abhishek-PaliGemma-FT

This model is a fine-tuned version of [google/paligemma-3b-pt-224](https://huggingface.co./google/paligemma-3b-pt-224) on an small split of [DocumentVQA dataset](https://huggingface.co./datasets/HuggingFaceM4/DocumentVQA) (60+ GB unzipped in memory).

## 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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 2

### Training results



### Framework versions

- PEFT 0.11.1
- Transformers 4.43.0.dev0
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1