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--- |
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library_name: transformers |
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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: Timesformers-d1 |
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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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# Timesformers-d1 |
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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: 1.7694 |
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- Accuracy: 0.7438 |
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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: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- training_steps: 12010 |
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- mixed_precision_training: Native AMP |
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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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| 0.0539 | 0.1 | 1201 | 2.3236 | 0.6307 | |
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| 0.5697 | 1.1 | 2402 | 1.9547 | 0.6739 | |
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| 0.5417 | 2.1 | 3603 | 1.7376 | 0.6951 | |
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| 0.0014 | 3.1 | 4804 | 1.8078 | 0.6920 | |
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| 1.1162 | 4.1 | 6005 | 1.7942 | 0.6921 | |
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| 0.0009 | 5.1 | 7206 | 1.4165 | 0.7779 | |
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| 0.0053 | 6.1 | 8407 | 1.7419 | 0.7540 | |
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| 1.4804 | 7.1 | 9608 | 1.5797 | 0.7424 | |
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| 0.6189 | 8.1 | 10809 | 1.9191 | 0.7305 | |
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| 0.0009 | 9.1 | 12010 | 1.7694 | 0.7438 | |
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### Framework versions |
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- Transformers 4.46.2 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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