CoolFace
Modelpublic

lmazzon70/videomae-base-short-finetuned-ssv2-finetuned-rwf2000-epochs8-sample8

sourceHugging Facecc-by-nc-4.0updated 4y agoView on Hugging Face
0likes16downloads
Model Card

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

videomae-base-short-finetuned-ssv2-finetuned-rwf2000-epochs8-sample8

This model is a fine-tuned version of MCG-NJU/videomae-base-short-finetuned-ssv2 on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 3.2493
  • —Accuracy: 0.3857

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
  • —trainbatchsize: 2
  • —evalbatchsize: 2
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_ratio: 0.1
  • —training_steps: 6400

Training results

Training LossEpochStepValidation LossAccuracy
0.67830.128000.58230.8175
0.73971.1216002.23650.5475
0.2062.1224001.42440.6375
0.04313.1232000.91440.7525
0.00334.1240000.76220.825
0.00115.1248001.06580.775
0.0016.1256001.68920.6875
0.23927.1264001.15740.7825

Framework versions

  • —Transformers 4.25.1
  • —Pytorch 1.13.1+cu117
  • —Datasets 2.8.0
  • —Tokenizers 0.13.2