PaliGemma

Check finetuned model on Hugging Face

Model description

This model is a fine-tuned version of google/paligemma-3b-pt-224 on ariG23498/intersection-dataset.

Training procedure

Finetuning done using (LoRA) PEFT method. Rank = 8 choosen.

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 OptimizerNames.ADAMW_BNB 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: 2

Framework versions

• PEFT 0.14.0
• Transformers 4.50.2
• Pytorch 2.6.0+cu124
• Datasets 3.5.0
• Tokenizers 0.21.1