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

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  1. README.md +14 -19
  2. model.safetensors +1 -1
  3. runs/Mar14_08-26-15_2b35b180607e/events.out.tfevents.1710404776.2b35b180607e.34.0 +2 -2
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 1.0
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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
@@ -32,8 +32,8 @@ 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: 0.0019
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- - Accuracy: 1.0
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  ## Model description
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@@ -61,27 +61,22 @@ The following hyperparameters were used during training:
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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: 15
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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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- | 0.8881 | 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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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.598512173128945
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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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  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: 0.6732
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+ - Accuracy: 0.5985
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  ## Model description
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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: 10
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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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+ | 0.6726 | 1.0 | 329 | 0.6758 | 0.5985 |
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+ | 0.6773 | 2.0 | 658 | 0.6738 | 0.5985 |
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+ | 0.6701 | 3.0 | 987 | 0.6736 | 0.5985 |
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+ | 0.6734 | 4.0 | 1317 | 0.6735 | 0.5985 |
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+ | 0.671 | 5.0 | 1646 | 0.6738 | 0.5985 |
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+ | 0.6725 | 6.0 | 1975 | 0.6740 | 0.5985 |
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+ | 0.6702 | 7.0 | 2304 | 0.6737 | 0.5985 |
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+ | 0.6708 | 8.0 | 2634 | 0.6733 | 0.5983 |
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+ | 0.6732 | 9.0 | 2963 | 0.6735 | 0.5985 |
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+ | 0.671 | 9.99 | 3290 | 0.6732 | 0.5985 |
 
 
 
 
 
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  ### Framework versions
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