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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-short-finetuned-ssv2-finetuned-rwf2000-epochs8
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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-short-finetuned-ssv2-finetuned-rwf2000-epochs8
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This model is a fine-tuned version of [MCG-NJU/videomae-base-short-finetuned-ssv2](https://huggingface.co/MCG-NJU/videomae-base-short-finetuned-ssv2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.3523
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- Accuracy: 0.5071
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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: 6400
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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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| 0.5905 | 0.12 | 800 | 0.6397 | 0.795 |
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| 0.8951 | 1.12 | 1600 | 1.4140 | 0.6575 |
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| 0.0121 | 2.12 | 2400 | 1.0683 | 0.7212 |
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| 0.0081 | 3.12 | 3200 | 1.4044 | 0.6625 |
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| 0.0531 | 4.12 | 4000 | 0.7906 | 0.8237 |
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| 0.0045 | 5.12 | 4800 | 1.1109 | 0.7612 |
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| 0.017 | 6.12 | 5600 | 1.8795 | 0.6462 |
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| 0.6752 | 7.12 | 6400 | 1.0282 | 0.79 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.13.1+cu117
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- Datasets 2.8.0
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- Tokenizers 0.13.2
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