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README.md
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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-ucf1012bovi-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-ucf1012bovi-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: 0.6819
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- Accuracy: 0.6667
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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: 8
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- eval_batch_size: 8
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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: 280
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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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| 0.7118 | 0.13 | 36 | 0.6814 | 0.5714 |
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| 0.8238 | 1.13 | 72 | 0.6641 | 0.5714 |
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| 0.6892 | 2.13 | 108 | 0.6935 | 0.4762 |
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| 0.7013 | 3.13 | 144 | 0.6819 | 0.6667 |
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| 0.6871 | 4.13 | 180 | 0.6751 | 0.5714 |
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| 0.7159 | 5.13 | 216 | 0.6854 | 0.5238 |
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| 0.6884 | 6.13 | 252 | 0.6735 | 0.6667 |
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| 0.6905 | 7.1 | 280 | 0.6739 | 0.6190 |
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### Framework versions
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- Transformers 4.26.0
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- Pytorch 1.13.1+cu116
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- Datasets 2.9.0
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- Tokenizers 0.13.2
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