generated_from_trainer

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videomae-finetuned-nba-5-class-4-batch-8000-vid-multilabel-3

This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set:

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:

Training results

Training Loss Epoch Step Validation Loss F1 Roc Auc Accuracy
0.4913 0.04 2000 0.5028 0.5811 0.7020 0.2147
0.296 1.04 4000 0.4175 0.6805 0.7646 0.3674
0.3384 2.04 6000 0.4054 0.6912 0.7715 0.3821
0.3212 3.04 8000 0.4071 0.7029 0.7762 0.4958
0.2955 4.04 10000 0.3978 0.7144 0.7853 0.5158
0.2713 5.04 12000 0.3738 0.7550 0.8113 0.5758
0.2448 6.04 14000 0.3673 0.7663 0.8189 0.5642
0.3435 7.04 16000 0.3496 0.7960 0.8404 0.6284
0.2489 8.04 18000 0.3656 0.7970 0.8426 0.6526
0.2794 9.04 20000 0.3582 0.7972 0.8428 0.64
0.36 10.04 22000 0.3313 0.8223 0.8611 0.6811
0.2545 11.04 24000 0.3392 0.8408 0.8771 0.7168
0.2076 12.04 26000 0.3582 0.8254 0.8698 0.6979
0.2294 13.04 28000 0.3469 0.8238 0.8630 0.7032
0.1248 14.04 30000 0.3482 0.8432 0.8780 0.7379
0.153 15.04 32000 0.3392 0.8477 0.8795 0.7274
0.1764 16.04 34000 0.3410 0.8395 0.8731 0.7295
0.2392 17.04 36000 0.3300 0.8612 0.8912 0.7621
0.2256 18.04 38000 0.3344 0.8570 0.8892 0.7558
0.2725 19.04 40000 0.3286 0.8604 0.8909 0.7653
0.1801 20.04 42000 0.3439 0.8626 0.8939 0.7684
0.2238 21.04 44000 0.3446 0.8564 0.8894 0.7621
0.2488 22.04 46000 0.3491 0.8643 0.8946 0.78
0.0829 23.04 48000 0.3464 0.8625 0.8934 0.7684
0.1616 24.04 50000 0.3475 0.8599 0.8921 0.7716

Framework versions