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--- |
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license: apache-2.0 |
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base_model: microsoft/swin-tiny-patch4-window7-224 |
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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: Human-action-swin |
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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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# Human-action-swin |
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This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5231 |
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- Accuracy: 0.8377 |
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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: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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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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- num_epochs: 12 |
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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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| 0.8248 | 0.99 | 78 | 0.7299 | 0.7667 | |
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| 0.806 | 1.99 | 157 | 0.6541 | 0.7944 | |
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| 0.8544 | 3.0 | 236 | 0.6443 | 0.7996 | |
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| 0.8503 | 4.0 | 315 | 0.5965 | 0.8179 | |
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| 0.7538 | 4.99 | 393 | 0.5674 | 0.8282 | |
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| 0.6921 | 5.99 | 472 | 0.5941 | 0.8175 | |
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| 0.7214 | 7.0 | 551 | 0.5721 | 0.8246 | |
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| 0.6402 | 8.0 | 630 | 0.5433 | 0.8361 | |
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| 0.5899 | 8.99 | 708 | 0.5323 | 0.8425 | |
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| 0.6688 | 9.99 | 787 | 0.5213 | 0.8409 | |
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| 0.5948 | 11.0 | 866 | 0.5244 | 0.8385 | |
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| 0.5818 | 11.89 | 936 | 0.5231 | 0.8377 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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