metadata

base_model: google/paligemma-3b-pt-224
datasets:
  - vq_av2
library_name: peft
license: gemma
tags:
  - generated_from_trainer
model-index:
  - name: paligemma_vqav2_5
    results: []

paligemma_vqav2_5

This model is a fine-tuned version of google/paligemma-3b-pt-224 on the vq_av2 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: 8
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
num_epochs: 5

Training results

Framework versions

PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1