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videomae-surf-analytics-runpod

This model is a fine-tuned version of facebook/timesformer-base-finetuned-k400 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4027
  • Accuracy: 0.8838
  • F1: 0.8838

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: 12
  • eval_batch_size: 12
  • 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: 610

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
0.6712 0.1016 62 0.8671 0.6680 0.6623
0.3119 1.1016 124 0.5911 0.7884 0.7887
0.2505 2.1016 186 0.5297 0.8008 0.8002
0.207 3.1016 248 0.5970 0.7801 0.7787
0.1743 4.1016 310 0.5612 0.8050 0.7984
0.1005 5.1016 372 0.4027 0.8838 0.8838
0.0147 6.1016 434 0.4360 0.8589 0.8573
0.0573 7.1016 496 0.4451 0.8714 0.8697
0.0143 8.1016 558 0.4099 0.8672 0.8666
0.1311 9.0852 610 0.4056 0.8755 0.8752

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.3.1+cu121
  • Datasets 2.19.2
  • Tokenizers 0.19.1
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