metadata

base_model: google/paligemma-3b-pt-448
library_name: peft
license: gemma
tags:
  - generated_from_trainer
model-index:
  - name: paligemma_vqav2
    results: []

paligemma_vqav2

This model is a fine-tuned version of google/paligemma-3b-pt-448 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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Use adamw_hf 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: 4

Training results

Framework versions

PEFT 0.13.2
Transformers 4.47.0.dev0
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.20.3