videomae-base-finetuned-kinetics-0409_final_5sec_org_ab7_val_as123_retry

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:

• Loss: 0.3849
• Accuracy: 0.9123

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:

• 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: 65800

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6536	0.0100	659	0.3131	0.8889
0.0064	1.0100	1318	0.2702	0.9241
0.0189	2.0100	1977	0.6265	0.8271
0.0018	3.0100	2636	0.5558	0.8709
0.0105	4.0100	3295	0.8117	0.8443
0.0026	5.0100	3954	0.4269	0.9014
0.0107	6.0100	4613	0.5239	0.8638
0.0481	7.0100	5272	0.4894	0.8740
0.0069	8.0100	5931	0.5610	0.8599
0.0035	9.0100	6590	0.5693	0.8795
1.3138	10.0100	7249	1.0626	0.8020
0.0002	11.0100	7908	0.4887	0.8897

Framework versions

• Transformers 4.48.0
• Pytorch 2.5.1+cu124
• Datasets 3.2.0
• Tokenizers 0.21.0