videomae-base-finetuned-beilinson-6epochs-9epochs_samelr

This model is a fine-tuned version of DaliaSherman/videomae-base-finetuned-beilinson-6epochs on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 1.9697
• eval_accuracy: 0.4378
• eval_runtime: 847.6167
• eval_samples_per_second: 0.275
• eval_steps_per_second: 0.035
• epoch: 1.3333
• step: 104

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 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: 156

Framework versions

• Transformers 4.46.2
• Pytorch 2.5.1+cu121
• Datasets 3.1.0
• Tokenizers 0.20.3