results_final_fold_2

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

• Loss: 0.1873

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: 15

Training results

Training Loss	Epoch	Step	Validation Loss
0.2146	1.0	2091	0.2088
0.2204	2.0	4182	0.1929
0.2124	3.0	6273	0.1917
0.2045	4.0	8364	0.1945
0.22	5.0	10455	0.1941
0.2191	6.0	12546	0.2005
0.2007	7.0	14637	0.1939
0.2107	8.0	16728	0.1873
0.1977	9.0	18819	0.1968
0.1984	10.0	20910	0.1918
0.2152	11.0	23001	0.1881
0.206	12.0	25092	0.1897
0.2172	13.0	27183	0.1899
0.2073	14.0	29274	0.1895
0.2032	15.0	31365	0.1896

Framework versions

• Transformers 4.51.0.dev0
• Pytorch 2.1.2+cu121
• Datasets 3.5.0
• Tokenizers 0.21.1