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--- |
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license: cc-by-nc-4.0 |
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base_model: MCG-NJU/videomae-small-finetuned-ssv2 |
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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-small-finetuned-ssv2-finetuned-traffic-dataset-mae |
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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-small-finetuned-ssv2-finetuned-traffic-dataset-mae |
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This model is a fine-tuned version of [MCG-NJU/videomae-small-finetuned-ssv2](https://huggingface.co/MCG-NJU/videomae-small-finetuned-ssv2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0486 |
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- Accuracy: 1.0 |
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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: 2 |
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- eval_batch_size: 2 |
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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: 448 |
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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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| 0.4852 | 0.12 | 56 | 0.4753 | 0.7143 | |
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| 0.6294 | 1.12 | 112 | 0.0372 | 1.0 | |
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| 0.4141 | 2.12 | 168 | 0.0060 | 1.0 | |
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| 0.2121 | 3.12 | 224 | 0.0062 | 1.0 | |
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| 0.8881 | 4.12 | 280 | 0.0046 | 1.0 | |
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| 0.3003 | 5.12 | 336 | 0.0054 | 1.0 | |
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| 0.1027 | 6.12 | 392 | 0.1611 | 0.9286 | |
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| 0.0029 | 7.12 | 448 | 0.0898 | 0.9286 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.1.0 |
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- Tokenizers 0.15.2 |
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