metadata

license: gemma
base_model: google/paligemma-3b-pt-224
tags:
  - generated_from_trainer
model-index:
  - name: pixelprose_vlm_caps_100k_bs128
    results: []

pixelprose_vlm_caps_100k_bs128

This model is a fine-tuned version of google/paligemma-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: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 4
total_train_batch_size: 128
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
training_steps: 1600

Training results

Framework versions

Transformers 4.44.0
Pytorch 2.3.1
Datasets 2.20.0
Tokenizers 0.19.1