metadata

library_name: peft
license: gemma
base_model: google/paligemma-3b-pt-224
tags:
  - generated_from_trainer
model-index:
  - name: paligemma_vqa_1000
    results: []

paligemma_vqa_1000

This model is a fine-tuned version of google/paligemma-3b-pt-224 on the None dataset.

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: 0.0002
train_batch_size: 12
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 96
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.03
num_epochs: 2

Training results

Framework versions

PEFT 0.13.0
Transformers 4.45.1
Pytorch 2.4.0+cu121
Datasets 3.0.1
Tokenizers 0.20.3