picth_vision_checkpoint_7

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: 0.4279
• Accuracy: 0.9574

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: 4
• eval_batch_size: 4
• 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: 7824

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0253	0.3335	2609	0.2383	0.9641
0.0	1.3335	5218	0.3598	0.9630
0.0	2.3331	7824	0.4279	0.9574

Framework versions

• Transformers 4.51.3
• Pytorch 2.3.1+cu121
• Datasets 3.6.0
• Tokenizers 0.21.1