estudiante_Swin3D_profesor_MViT_akl_RWF2000

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

Model description

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The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 10
eval_batch_size: 10
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: 560
training_steps: 5600
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall	Roc Auc
4.1936	1.0214	280	0.3434	0.8575	0.8563	0.8702	0.8575	0.9537
3.4616	3.0143	560	0.2829	0.8775	0.8774	0.8791	0.8775	0.9587
2.8886	5.0071	840	0.3145	0.8775	0.8770	0.8835	0.8775	0.9586
2.4481	6.0286	1120	0.3595	0.8675	0.8666	0.8778	0.8675	0.9492
2.0603	8.0214	1400	0.3079	0.8875	0.8873	0.8903	0.8875	0.9513
1.7483	10.0143	1680	0.2810	0.8975	0.8974	0.8987	0.8975	0.9631
1.808	12.0071	1960	0.2715	0.9	0.9000	0.9000	0.9	0.9630
1.7373	13.0286	2240	0.3319	0.875	0.8744	0.8825	0.875	0.9652
1.621	15.0214	2520	0.2721	0.91	0.9100	0.9102	0.91	0.9680
1.5803	17.0143	2800	0.2640	0.9175	0.9174	0.9193	0.9175	0.9733
1.6703	19.0071	3080	0.2754	0.9075	0.9074	0.9087	0.9075	0.9675
1.3204	20.0286	3360	0.2532	0.9175	0.9175	0.9175	0.9175	0.9691
1.2447	22.0214	3640	0.3191	0.89	0.8896	0.8957	0.89	0.9721
1.4993	24.0143	3920	0.3287	0.8875	0.8871	0.8937	0.8875	0.9680
1.1415	26.0071	4200	0.2641	0.9225	0.9225	0.9225	0.9225	0.9663
1.6365	27.0286	4480	0.2984	0.9025	0.9025	0.9025	0.9025	0.9573
0.9572	29.0214	4760	0.3362	0.89	0.8898	0.8932	0.89	0.9610
1.093	31.0143	5040	0.2720	0.91	0.9100	0.9100	0.91	0.9654
1.2306	33.0071	5320	0.2865	0.9125	0.9125	0.9126	0.9125	0.9655
1.0559	34.0286	5600	0.2807	0.905	0.905	0.905	0.905	0.9632