profesor_Swin3D_O_VIOPERU

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

• Loss: 0.3875
• Accuracy: 0.8482
• F1: 0.8479
• Precision: 0.8510
• Recall: 0.8482
• Roc Auc: 0.8997

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 adamw_torch 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: 54
• training_steps: 540
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall	Roc Auc
0.6151	1.0481	54	0.6360	0.7222	0.7208	0.7320	0.7222	0.8173
0.483	3.0444	108	0.5192	0.8148	0.8148	0.8148	0.8148	0.8764
0.3825	5.0407	162	0.4128	0.8889	0.8886	0.8907	0.8889	0.8846
0.1703	7.0370	216	0.4211	0.8704	0.8702	0.8707	0.8704	0.9038
0.1356	9.0333	270	0.5236	0.8519	0.8514	0.8534	0.8519	0.8791
0.1848	11.0296	324	0.5089	0.8704	0.8702	0.8707	0.8704	0.8764

Framework versions

• Transformers 4.46.3
• Pytorch 2.0.1+cu118
• Datasets 3.1.0
• Tokenizers 0.20.3