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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: finetuned-Accident-MultipleLabels-Video-subset-v2 |
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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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# finetuned-Accident-MultipleLabels-Video-subset-v2 |
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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: 1.7815 |
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- Accuracy: 0.2593 |
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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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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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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: 50 |
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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 | 0.08 | 4 | 2.0559 | 0.0156 | |
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| No log | 1.08 | 8 | 1.9961 | 0.1719 | |
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| 1.7392 | 2.08 | 12 | 2.1035 | 0.3594 | |
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| 1.7392 | 3.08 | 16 | 2.0893 | 0.3438 | |
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| 1.4679 | 4.08 | 20 | 2.0625 | 0.2031 | |
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| 1.4679 | 5.08 | 24 | 1.9845 | 0.3125 | |
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| 1.4679 | 6.08 | 28 | 1.9829 | 0.3125 | |
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| 1.3757 | 7.08 | 32 | 1.9941 | 0.3438 | |
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| 1.3757 | 8.08 | 36 | 2.0449 | 0.3125 | |
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| 1.2956 | 9.08 | 40 | 2.0877 | 0.3281 | |
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| 1.2956 | 10.08 | 44 | 2.1224 | 0.3281 | |
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| 1.2956 | 11.08 | 48 | 2.1418 | 0.3281 | |
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| 1.2352 | 12.04 | 50 | 2.1479 | 0.3281 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.2.0.dev20231202+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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