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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_Augm_v2 |
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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_Augm_v2 |
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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: 0.9006 |
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- Accuracy: 0.6190 |
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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: 350 |
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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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| 1.0891 | 0.12 | 42 | 0.9088 | 0.6 | |
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| 1.0414 | 1.12 | 84 | 1.1233 | 0.4 | |
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| 0.7054 | 2.12 | 126 | 1.0407 | 0.44 | |
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| 1.0071 | 3.12 | 168 | 1.6254 | 0.2 | |
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| 0.2627 | 4.12 | 210 | 2.7735 | 0.24 | |
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| 0.0226 | 5.12 | 252 | 4.1474 | 0.12 | |
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| 0.0065 | 6.12 | 294 | 4.5980 | 0.08 | |
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| 0.012 | 7.12 | 336 | 4.6877 | 0.08 | |
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| 0.0027 | 8.04 | 350 | 4.6653 | 0.08 | |
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### Framework versions |
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- Transformers 4.28.0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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