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---
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library_name: transformers
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license: cc-by-nc-4.0
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base_model: MCG-NJU/videomae-base
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: videomae-base-Badminton_strokes-finetuned-stroke-classification_10
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# videomae-base-Badminton_strokes-finetuned-stroke-classification_10
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This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5231
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- Accuracy: 0.8551
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 24
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- eval_batch_size: 24
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- training_steps: 2450
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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| 1.3775 | 0.1004 | 246 | 1.5477 | 0.4784 |
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| 0.9098 | 1.1004 | 492 | 1.2118 | 0.6965 |
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| 0.6294 | 2.1004 | 738 | 1.1314 | 0.7164 |
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| 0.6993 | 3.1004 | 984 | 1.1107 | 0.7333 |
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| 0.4355 | 4.1004 | 1230 | 1.0774 | 0.7497 |
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| 0.3388 | 5.1004 | 1476 | 1.0708 | 0.7673 |
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| 0.448 | 6.1004 | 1722 | 1.1309 | 0.7678 |
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| 0.2328 | 7.1004 | 1968 | 1.0999 | 0.7737 |
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| 0.2329 | 8.1004 | 2214 | 1.1141 | 0.7807 |
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| 0.1596 | 9.0963 | 2450 | 1.1185 | 0.7795 |
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### Framework versions
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- Transformers 4.47.1
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- Pytorch 2.5.1+cu124
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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