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--- |
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license: cc-by-nc-4.0 |
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base_model: MCG-NJU/videomae-base |
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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 |
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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 |
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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: 0.5280 |
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- Accuracy: 0.8051 |
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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: 4 |
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- eval_batch_size: 4 |
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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: 1300 |
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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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| 0.5307 | 0.1008 | 131 | 0.5135 | 0.7897 | |
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| 0.7467 | 1.1008 | 262 | 0.4954 | 0.7863 | |
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| 0.5834 | 2.1008 | 393 | 0.5522 | 0.7419 | |
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| 0.5894 | 3.1008 | 524 | 0.5229 | 0.8171 | |
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| 0.536 | 4.1008 | 655 | 0.4529 | 0.8154 | |
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| 0.5135 | 5.1008 | 786 | 0.4495 | 0.8205 | |
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| 0.4498 | 6.1008 | 917 | 0.5333 | 0.8034 | |
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| 0.5968 | 7.1008 | 1048 | 0.5310 | 0.8205 | |
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| 0.5063 | 8.1008 | 1179 | 0.5089 | 0.8137 | |
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| 0.4491 | 9.0931 | 1300 | 0.5280 | 0.8051 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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