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videomae-base-Badminton_strokes-finetuned-stroke-classification – AI Model by yexter | AlphaNeural AI
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videomae-base-Badminton_strokes-finetuned-stroke-classification
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transformers
safetensors
videomae
video-classification
generated_from_trainer
MCG-NJU/videomae-base
finetune
cc-by-nc-4.0
endpoints_compatible
us
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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
