Edit model card

videomae-base-finetuned-good-gesturePhaseV10

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:

  • Accuracy: 0.9253
  • Loss: 0.3122
  • Accuracy Hold: 1.0
  • Accuracy Stroke: 0.4286
  • Accuracy Recovery: 0.7895
  • Accuracy Preparation: 1.0
  • Accuracy Unknown: 0.6429

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: 630

Training results

Training Loss Epoch Step Accuracy Validation Loss Accuracy Hold Accuracy Stroke Accuracy Recovery Accuracy Preparation Accuracy Unknown
1.1344 0.2016 127 0.6900 1.0021 0.0 0.0 0.0 1.0 0.0
0.5961 1.2016 254 0.7948 0.6022 0.2692 0.0 0.0588 0.9873 0.8182
0.3453 2.2016 381 0.8777 0.3925 0.8077 0.0 0.4118 0.9747 0.8636
0.1551 3.2016 508 0.9432 0.2178 0.9615 0.1667 0.7059 0.9937 0.9545
0.1213 4.1937 630 0.9476 0.2032 0.9615 0.6667 0.7059 1.0 0.8182

Framework versions

  • Transformers 4.41.1
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1
Downloads last month
1
Safetensors
Model size
86.2M params
Tensor type
F32
·
This model can be loaded on Inference API (serverless).

Finetuned from