2nzi/videomae-surf-analytics-v4

videomae-surf-analytics-runpod7

This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.5278
• eval_accuracy: 0.9180
• eval_f1: 0.9179
• eval_runtime: 73.3325
• eval_samples_per_second: 1.664
• eval_steps_per_second: 0.218
• epoch: 5.0024
• step: 8857

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: 9200

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1