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--- |
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license: mit |
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base_model: google/vivit-b-16x2-kinetics400 |
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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: vivit-b-16x2-kinetics400-0511-mediapipe |
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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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# vivit-b-16x2-kinetics400-0511-mediapipe |
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This model is a fine-tuned version of [google/vivit-b-16x2-kinetics400](https://huggingface.co/google/vivit-b-16x2-kinetics400) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9073 |
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- Accuracy: 0.82 |
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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: 1400 |
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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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| 2.2076 | 0.1 | 140 | 2.4158 | 0.15 | |
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| 1.184 | 1.1 | 280 | 1.2269 | 0.6 | |
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| 0.6475 | 2.1 | 420 | 0.7247 | 0.76 | |
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| 0.3137 | 3.1 | 560 | 0.7076 | 0.78 | |
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| 0.0356 | 4.1 | 700 | 0.7347 | 0.82 | |
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| 0.0017 | 5.1 | 840 | 0.8888 | 0.83 | |
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| 0.0007 | 6.1 | 980 | 0.9464 | 0.8 | |
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| 0.265 | 7.1 | 1120 | 1.0068 | 0.8 | |
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| 0.0012 | 8.1 | 1260 | 0.8982 | 0.82 | |
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| 0.0007 | 9.1 | 1400 | 0.9073 | 0.82 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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