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d2o2ji/
videomae-base-finetuned-kinetics-0417_final_5sec_org_ab7_val_inside_train_balanced_allpretest_re

Name: videomae-base-finetuned-kinetics-0417_final_5sec_org_ab7_val_inside_train_balanced_allpretest_re
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videomae-base-finetuned-kinetics-0417_final_5sec_org_ab7_val_inside_train_balanced_allpretest_re

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:

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The following hyperparameters were used during training:

learning_rate: 5e-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_ratio: 0.05
training_steps: 86000

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0088	0.0100	861	0.1426	0.9463
3.031	1.0100	1722	0.2207	0.9250
0.3094	2.0100	2583	0.5461	0.8349
0.0152	3.0100	3444	0.4200	0.8863
3.2919	4.0100	4305	0.3855	0.8973
0.0007	5.0100	5166	0.2005	0.9400
2.4368	6.0100	6027	0.7514	0.8239
0.0339	7.0100	6888	0.3068	0.9123
0.0082	8.0100	7749	0.3015	0.9147
0.0507	9.0100	8610	0.2606	0.9329
0.0003	10.0100	9471	0.4086	0.9171
0.0179	11.0100	10332	0.2585	0.9265
0.0054	12.0100	11193	0.3542	0.9155
0.0018	13.0100	12054	0.3996	0.9163
0.0728	14.0100	12915	0.4471	0.9155
0.0099	15.0100	13776	0.3036	0.9336