picth_vision_checkpoint_6

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: 0.2964
• Accuracy: 0.9664

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 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: 3912

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0027	0.3336	1305	0.1974	0.9753
0.0075	1.3336	2610	0.1316	0.9798
0.0	2.3328	3912	0.2964	0.9664

Framework versions

• Transformers 4.56.0
• Pytorch 2.6.0+cu124
• Datasets 4.0.0
• Tokenizers 0.22.0