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--- |
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license: cc-by-nc-4.0 |
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base_model: facebook/timesformer-base-finetuned-k400 |
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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: timesformer-base-finetuned-k400-finetuned-kinetic-subset-three-local-temporal-with-spatial |
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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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# timesformer-base-finetuned-k400-finetuned-kinetic-subset-three-local-temporal-with-spatial |
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This model is a fine-tuned version of [facebook/timesformer-base-finetuned-k400](https://huggingface.co/facebook/timesformer-base-finetuned-k400) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3731 |
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- Accuracy: 0.9118 |
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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: 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: 300 |
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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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| 0.0003 | 0.17 | 50 | 0.4553 | 0.8472 | |
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| 0.0004 | 1.17 | 100 | 0.3349 | 0.9028 | |
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| 0.0004 | 2.17 | 150 | 0.1279 | 0.9583 | |
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| 0.0995 | 3.17 | 200 | 0.1181 | 0.9306 | |
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| 0.0001 | 4.17 | 250 | 0.1797 | 0.9167 | |
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| 0.0003 | 5.17 | 300 | 0.1393 | 0.9444 | |
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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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