videomae-base-finetuned-ucf101-subset

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

• Loss: 0.2412
• Accuracy: 0.9484

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• training_steps: 148

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.3597	0.1284	19	2.0514	0.4714
1.9928	1.1284	38	1.4878	0.5429
1.1016	2.1284	57	0.7900	0.7857
0.4919	3.1284	76	0.5123	0.8286
0.324	4.1284	95	0.3623	0.8714
0.167	5.1284	114	0.2944	0.8857
0.1024	6.1284	133	0.2258	0.9
0.0915	7.1014	148	0.2249	0.9

Framework versions

• Transformers 4.42.3
• Pytorch 2.1.2
• Datasets 2.20.0
• Tokenizers 0.19.1