metadata

library_name: peft
license: gemma
base_model: google/paligemma2-3b-pt-224
tags:
  - generated_from_trainer
model-index:
  - name: paligemma2-qlora-estnamevqa-224
    results: []

paligemma2-qlora-estnamevqa-224

This model is a fine-tuned version of google/paligemma2-3b-pt-224 on an unknown 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: 2e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Use paged_adamw_8bit 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: 1

Training results

Framework versions

PEFT 0.14.0
Transformers 4.48.0.dev0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0