3_Buatan_RGBCROP_Aug16F-8B16F-GACWDlr

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: 0.4871
• Accuracy: 0.7955

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: 1e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• 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: 2520

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5839	0.025	63	0.6498	0.6917
0.285	1.025	126	0.2116	1.0
0.0236	2.025	189	0.0153	1.0
0.0234	3.025	252	0.0065	1.0
0.0025	4.025	315	0.0028	1.0
0.0007	5.025	378	0.0012	1.0
0.0005	6.025	441	0.0008	1.0

Framework versions

• Transformers 4.51.3
• Pytorch 2.6.0+cu124
• Datasets 3.6.0
• Tokenizers 0.21.1