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swin-large-ai-or-not

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itsLeen/swin-large-ai-or-nott

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  1. README.md +10 -16
  2. all_results.json +5 -5
  3. model.safetensors +1 -1
  4. runs/Nov02_16-46-31_43751f35ef22/events.out.tfevents.1730565993.43751f35ef22.200.0 +3 -0
  5. runs/Nov02_16-55-51_43751f35ef22/events.out.tfevents.1730566554.43751f35ef22.200.1 +3 -0
  6. runs/Nov02_17-23-19_43751f35ef22/events.out.tfevents.1730568201.43751f35ef22.9452.0 +3 -0
  7. runs/Nov02_17-27-05_43751f35ef22/events.out.tfevents.1730568425.43751f35ef22.9452.1 +3 -0
  8. runs/Nov02_17-47-24_43751f35ef22/events.out.tfevents.1730569644.43751f35ef22.9452.2 +3 -0
  9. runs/Nov02_17-50-34_43751f35ef22/events.out.tfevents.1730569836.43751f35ef22.17364.0 +3 -0
  10. runs/Nov02_18-34-36_43751f35ef22/events.out.tfevents.1730572477.43751f35ef22.17364.1 +3 -0
  11. runs/Nov02_19-21-40_43751f35ef22/events.out.tfevents.1730575301.43751f35ef22.17364.2 +3 -0
  12. runs/Nov02_19-43-06_43751f35ef22/events.out.tfevents.1730576587.43751f35ef22.17364.3 +3 -0
  13. runs/Nov02_19-58-56_43751f35ef22/events.out.tfevents.1730577537.43751f35ef22.17364.4 +3 -0
  14. runs/Nov02_20-08-13_43751f35ef22/events.out.tfevents.1730578095.43751f35ef22.17364.5 +3 -0
  15. train_results.json +5 -5
  16. training_args.bin +1 -1
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [itsLeen/swin-large-ai-or-not](https://huggingface.co/itsLeen/swin-large-ai-or-not) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1281
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- - Accuracy: 0.9744
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  ## Model description
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@@ -38,28 +38,22 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 1e-06
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- - train_batch_size: 4
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  - eval_batch_size: 8
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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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  - num_epochs: 7
 
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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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- | 0.5334 | 0.6452 | 100 | 0.2879 | 0.9615 |
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- | 0.6945 | 1.2903 | 200 | 0.2294 | 0.9615 |
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- | 0.4024 | 1.9355 | 300 | 0.1788 | 0.9679 |
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- | 0.3705 | 2.5806 | 400 | 0.1681 | 0.9744 |
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- | 0.1969 | 3.2258 | 500 | 0.1593 | 0.9744 |
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- | 0.2916 | 3.8710 | 600 | 0.1441 | 0.9744 |
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- | 0.1849 | 4.5161 | 700 | 0.1284 | 0.9744 |
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- | 0.185 | 5.1613 | 800 | 0.1347 | 0.9744 |
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- | 0.2097 | 5.8065 | 900 | 0.1315 | 0.9744 |
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- | 0.157 | 6.4516 | 1000 | 0.1281 | 0.9744 |
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  ### Framework versions
 
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19
  This model is a fine-tuned version of [itsLeen/swin-large-ai-or-not](https://huggingface.co/itsLeen/swin-large-ai-or-not) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4799
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+ - Accuracy: 0.92
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 1e-07
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+ - train_batch_size: 32
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  - eval_batch_size: 8
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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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  - num_epochs: 7
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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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+ | 0.8972 | 2.0 | 50 | 0.5104 | 0.905 |
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+ | 0.8229 | 4.0 | 100 | 0.4892 | 0.92 |
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+ | 0.7347 | 6.0 | 150 | 0.4799 | 0.92 |
 
 
 
 
 
 
 
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  ### Framework versions
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