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d2o2ji/
videomae-base-finetuned-kinetics-0407_final_5sec_org

Name: videomae-base-finetuned-kinetics-0407_final_5sec_org
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videomae-base-finetuned-kinetics-0407_final_5sec_org

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: 64900

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2834	0.0100	650	0.1824	0.9424
0.002	1.0100	1300	0.1967	0.9360
0.01	2.0100	1950	0.1581	0.9478
0.0151	3.0100	2600	0.2391	0.9012
1.1346	4.0100	3250	0.1545	0.9561
0.0246	5.0100	3900	0.3049	0.9076
0.0997	6.0100	4550	0.2367	0.9195
0.0306	7.0100	5200	0.2535	0.9369
0.0097	8.0100	5850	0.2917	0.9277
0.0012	9.0100	6500	0.4310	0.8481
0.0021	10.0100	7150	0.4185	0.8948
0.0091	11.0100	7800	0.3066	0.9204
0.0014	12.0100	8450	0.4666	0.8792
0.0039	13.0100	9100	0.2638	0.9305
0.0065	14.0100	9750	0.5420	0.8792
0.0111	15.0100	10400	0.2432	0.9167
0.0004	16.0100	11050	0.2606	0.9323
0.0001	17.0100	11700	0.3825	0.9241
0.0004	18.0100	12350	0.3493	0.9186
0.0155	19.0100	13000	0.4639	0.9103