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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-SSBD
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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-SSBD
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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: 0.9692
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- Accuracy: 0.5714
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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: 12
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- eval_batch_size: 12
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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: 150
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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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| 1.1628 | 0.14 | 21 | 1.0386 | 0.4 |
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| 1.1777 | 1.14 | 42 | 1.0652 | 0.4 |
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| 1.0752 | 2.14 | 63 | 1.4299 | 0.12 |
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| 0.6149 | 3.14 | 84 | 1.1845 | 0.32 |
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| 0.4486 | 4.14 | 105 | 1.6551 | 0.16 |
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| 0.2998 | 5.14 | 126 | 1.6550 | 0.16 |
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| 0.138 | 6.14 | 147 | 2.1708 | 0.2 |
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| 0.097 | 7.02 | 150 | 2.1794 | 0.2 |
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### Framework versions
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- Transformers 4.28.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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