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DanJoshua/
estudiante_MC318_profesor_MViT_akl_RWF2000

Name: estudiante_MC318_profesor_MViT_akl_RWF2000
Availability: InStock

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estudiante_MC318_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:

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The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 30
eval_batch_size: 30
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: 159
training_steps: 1590
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall	Roc Auc
10.7532	1.0145	79	0.5529	0.79	0.7877	0.8034	0.79	0.8806
8.2982	2.0289	158	0.4024	0.825	0.8250	0.8251	0.825	0.9141
6.7699	4.0082	237	0.3657	0.8425	0.8415	0.8509	0.8425	0.9352
5.05	5.0226	316	0.3208	0.8625	0.8620	0.8674	0.8625	0.9438
4.4531	7.0019	395	0.3502	0.855	0.8539	0.8656	0.855	0.9484
3.8667	8.0164	474	0.3259	0.845	0.8434	0.8594	0.845	0.9545
3.4567	9.0308	553	0.3032	0.8675	0.8667	0.8765	0.8675	0.9578
2.922	11.0101	632	0.2989	0.8675	0.8666	0.8778	0.8675	0.9609
2.7125	12.0245	711	0.3040	0.8725	0.8719	0.8794	0.8725	0.9617
2.4511	14.0038	790	0.2715	0.87	0.8692	0.8797	0.87	0.9637
2.3903	15.0182	869	0.2697	0.88	0.8796	0.8856	0.88	0.9647
2.2202	16.0327	948	0.2715	0.88	0.8796	0.8847	0.88	0.9653
2.2101	18.0119	1027	0.2757	0.875	0.8745	0.8814	0.875	0.9662
2.1343	19.0264	1106	0.2397	0.905	0.9050	0.9056	0.905	0.9648
1.8394	21.0057	1185	0.2570	0.865	0.8641	0.8746	0.865	0.9667
1.9406	22.0201	1264	0.2746	0.8825	0.8821	0.8876	0.8825	0.9674
1.7509	23.0346	1343	0.2545	0.89	0.8897	0.8939	0.89	0.9692