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swin-tiny-patch4-window7-224-finetuned-mobile-eye-tracking-dataset-v2

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  1. README.md +16 -16
  2. model.safetensors +1 -1
  3. runs/Feb23_09-16-24_25502028ad0b/events.out.tfevents.1708679784.25502028ad0b.34.0 +2 -2
README.md CHANGED
@@ -32,7 +32,7 @@ should probably proofread and complete it, then remove this comment. -->
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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 the image_folder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0003
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  - Accuracy: 1.0
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  ## Model description
@@ -67,21 +67,21 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.8725 | 0.99 | 46 | 0.4853 | 0.8347 |
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- | 0.2583 | 1.99 | 92 | 0.1199 | 0.9647 |
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- | 0.164 | 2.98 | 138 | 0.0184 | 0.9936 |
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- | 0.1019 | 4.0 | 185 | 0.0130 | 0.9952 |
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- | 0.0705 | 4.99 | 231 | 0.0080 | 0.9968 |
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- | 0.0558 | 5.99 | 277 | 0.0045 | 0.9984 |
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- | 0.0561 | 6.98 | 323 | 0.0047 | 1.0 |
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- | 0.0424 | 8.0 | 370 | 0.0058 | 0.9984 |
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- | 0.051 | 8.99 | 416 | 0.0036 | 1.0 |
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- | 0.0387 | 9.99 | 462 | 0.0013 | 1.0 |
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- | 0.0387 | 10.98 | 508 | 0.0019 | 1.0 |
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- | 0.0268 | 12.0 | 555 | 0.0004 | 1.0 |
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- | 0.0251 | 12.99 | 601 | 0.0003 | 1.0 |
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- | 0.0222 | 13.99 | 647 | 0.0005 | 1.0 |
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- | 0.0237 | 14.92 | 690 | 0.0003 | 1.0 |
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  ### Framework versions
 
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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 the image_folder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0002
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  - Accuracy: 1.0
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  ## Model description
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.8881 | 0.99 | 46 | 0.4645 | 0.8283 |
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+ | 0.257 | 1.99 | 92 | 0.0719 | 0.9823 |
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+ | 0.1419 | 2.98 | 138 | 0.0462 | 0.9823 |
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+ | 0.0888 | 4.0 | 185 | 0.0056 | 0.9984 |
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+ | 0.0706 | 4.99 | 231 | 0.0189 | 0.9936 |
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+ | 0.057 | 5.99 | 277 | 0.0068 | 0.9968 |
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+ | 0.0592 | 6.98 | 323 | 0.0045 | 0.9984 |
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+ | 0.0475 | 8.0 | 370 | 0.0019 | 1.0 |
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+ | 0.0472 | 8.99 | 416 | 0.0025 | 1.0 |
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+ | 0.0404 | 9.99 | 462 | 0.0003 | 1.0 |
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+ | 0.0392 | 10.98 | 508 | 0.0003 | 1.0 |
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+ | 0.0337 | 12.0 | 555 | 0.0007 | 1.0 |
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+ | 0.0279 | 12.99 | 601 | 0.0003 | 1.0 |
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+ | 0.0273 | 13.99 | 647 | 0.0003 | 1.0 |
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+ | 0.0236 | 14.92 | 690 | 0.0002 | 1.0 |
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  ### Framework versions
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