video-classification-finetuned-ucf101-subset

This model is a fine-tuned version of hungsvdut2k2/video-classification on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.5977
• eval_accuracy: 0.7059
• eval_runtime: 351.4501
• eval_samples_per_second: 2.322
• eval_steps_per_second: 0.29
• epoch: 0.05
• step: 118

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• training_steps: 2200

Framework versions

• Transformers 4.37.0
• Pytorch 2.1.2
• Datasets 2.1.0
• Tokenizers 0.15.1