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--- |
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license: cc-by-nc-4.0 |
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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-finetuned-ucf101-subset |
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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-finetuned-ucf101-subset |
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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: 0.2613 |
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- Accuracy: 0.8968 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- training_steps: 375 |
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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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| 1.8376 | 0.2 | 75 | 1.3921 | 0.5571 | |
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| 0.569 | 1.2 | 150 | 0.6125 | 0.7714 | |
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| 0.32 | 2.2 | 225 | 0.4814 | 0.7857 | |
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| 0.2384 | 3.2 | 300 | 0.3162 | 0.9 | |
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| 0.0338 | 4.2 | 375 | 0.1798 | 0.9429 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.10.0 |
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- Datasets 2.7.1 |
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- Tokenizers 0.12.1 |
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