metadata

library_name: transformers
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: videomae-base-Badminton_strokes-finetuned-stroke-classification
    results: []

videomae-base-Badminton_strokes-finetuned-stroke-classification

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:

Loss: 0.5237
Accuracy: 0.8442

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: 24
eval_batch_size: 24
seed: 42
optimizer: Use OptimizerNames.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: 1225

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.2138	0.2008	246	1.4943	0.5123
0.8947	1.2008	492	1.2374	0.6772
0.5704	2.2008	738	1.2350	0.6871
0.5847	3.2008	984	1.1260	0.7398
0.4343	4.1967	1225	1.0476	0.7620

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0