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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-elderf1 |
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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-elderf1 |
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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: 1.7031 |
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- Accuracy: 0.3481 |
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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: 0.001 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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: 720 |
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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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| 1.7358 | 0.1 | 73 | 1.6923 | 0.3408 | |
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| 1.7163 | 1.1 | 146 | 1.6662 | 0.3373 | |
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| 1.7018 | 2.1 | 219 | 1.6378 | 0.3408 | |
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| 1.7334 | 3.1 | 292 | 1.6563 | 0.3401 | |
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| 1.672 | 4.1 | 365 | 1.6568 | 0.2398 | |
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| 1.7095 | 5.1 | 438 | 1.6313 | 0.3387 | |
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| 1.7119 | 6.1 | 511 | 1.6309 | 0.3408 | |
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| 1.6981 | 7.1 | 584 | 1.6518 | 0.3289 | |
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| 1.7066 | 8.1 | 657 | 1.6313 | 0.3310 | |
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| 1.6476 | 9.09 | 720 | 1.6338 | 0.3289 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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