You can deploy this model and start earning money today!

DanJoshua/
profesor_Swin3D_B_VIOPERU

Name: profesor_Swin3D_B_VIOPERU
Availability: InStock

Views

No views yet

profesor_Swin3D_B_VIOPERU

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

More information needed

More information needed

More information needed

The following hyperparameters were used during training:

learning_rate: 5e-06
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
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: 84
training_steps: 560
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall	Roc Auc
1.3718	2.0161	37	0.6728	0.6607	0.6166	0.7979	0.6607	0.7666
1.307	5.0071	74	0.6388	0.8393	0.8367	0.8619	0.8393	0.8367
1.2244	7.0232	111	0.5896	0.8036	0.8020	0.8136	0.8036	0.8508
1.0091	10.0143	148	0.5448	0.8214	0.8205	0.8281	0.8214	0.8648
0.8839	13.0054	185	0.4877	0.8393	0.8380	0.8505	0.8393	0.8763