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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-SBDtoy |
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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-SBDtoy |
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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: 0.4955 |
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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: 1 |
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- eval_batch_size: 1 |
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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: 20 |
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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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| No log | 0.1 | 2 | 0.6590 | 0.5 | |
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| No log | 1.1 | 4 | 0.5487 | 0.5 | |
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| No log | 2.1 | 6 | 0.4955 | 1.0 | |
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| No log | 3.1 | 8 | 0.5463 | 0.5 | |
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| 0.4651 | 4.1 | 10 | 0.5728 | 0.5 | |
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| 0.4651 | 5.1 | 12 | 0.5635 | 0.5 | |
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| 0.4651 | 6.1 | 14 | 0.6040 | 0.5 | |
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| 0.4651 | 7.1 | 16 | 0.6417 | 0.5 | |
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| 0.4651 | 8.1 | 18 | 0.6531 | 0.5 | |
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| 0.122 | 9.1 | 20 | 0.6686 | 0.5 | |
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### Framework versions |
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- Transformers 4.29.2 |
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- Pytorch 2.0.0+cu117 |
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- Datasets 2.18.0 |
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- Tokenizers 0.13.3 |
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