videomae-small-finetuned-kinetics-finetuned-ucf101-subset-finetuned-after_colour_augmentation

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.2364
• Accuracy: 0.9174

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: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Use OptimizerNames.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: 0.1
• training_steps: 1130

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3858	0.2009	227	0.2481	0.9245
0.2848	1.2009	454	0.2231	0.9259
0.2836	2.2009	681	0.2198	0.9298
0.3492	3.2009	908	0.2207	0.9305
0.2931	4.1965	1130	0.2205	0.9302

Framework versions

• Transformers 4.47.1
• Pytorch 2.5.0+cu124
• Datasets 3.2.0
• Tokenizers 0.21.0