results_fold_3

This model is a fine-tuned version of google/paligemma-3b-mix-224 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.2210

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
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.2789	1.0	4181	0.2227
0.2806	2.0	8362	0.2210
0.2948	3.0	12543	0.2463
0.2673	4.0	16724	0.2404
0.2608	5.0	20905	0.2405

Framework versions

• Transformers 4.48.3
• Pytorch 2.1.2+cu121
• Tokenizers 0.21.0