KuramotoSivashinsky_2D_UNet_09072025_105403

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.8160
• L1 Error: 0.7046
• L2 Error: 0.9033

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: 5e-05
• train_batch_size: 64
• eval_batch_size: 64
• seed: 0
• 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: cosine
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	L1 Error	L2 Error
0.7047	0.2941	5	0.8172	0.7050	0.9040
0.6481	0.5882	10	0.8167	0.7049	0.9037
0.6729	0.8824	15	0.8164	0.7047	0.9035
0.6815	1.1765	20	0.8161	0.7047	0.9034
0.7099	1.4706	25	0.8160	0.7046	0.9033
0.6344	1.7647	30	0.8160	0.7046	0.9033

Framework versions

• Transformers 4.50.2
• Pytorch 2.6.0+cu124
• Tokenizers 0.21.1