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swin-tiny-patch4-window7-224-finetuned-student_two_classes

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  1. README.md +24 -24
  2. model.safetensors +1 -1
  3. runs/May01_15-28-52_d6eb9620a945/events.out.tfevents.1714577382.d6eb9620a945.304.8 +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: 0.76
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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 imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7437
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- - Accuracy: 0.76
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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: 5e-05
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  - train_batch_size: 32
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  - eval_batch_size: 32
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  - seed: 42
@@ -65,26 +65,26 @@ 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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- | 0.3845 | 1.0 | 13 | 0.6475 | 0.7 |
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- | 0.3466 | 2.0 | 26 | 0.6201 | 0.74 |
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- | 0.3832 | 3.0 | 39 | 0.8068 | 0.82 |
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- | 0.5344 | 4.0 | 52 | 0.6340 | 0.81 |
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- | 0.4912 | 5.0 | 65 | 0.6880 | 0.8 |
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- | 0.5093 | 6.0 | 78 | 0.6999 | 0.73 |
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- | 0.4109 | 7.0 | 91 | 0.7295 | 0.83 |
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- | 0.4383 | 8.0 | 104 | 0.7048 | 0.84 |
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- | 0.4534 | 9.0 | 117 | 0.6094 | 0.82 |
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- | 0.4684 | 10.0 | 130 | 0.5789 | 0.74 |
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- | 0.3442 | 11.0 | 143 | 0.7297 | 0.82 |
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- | 0.3236 | 12.0 | 156 | 0.7688 | 0.79 |
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- | 0.4645 | 13.0 | 169 | 0.6687 | 0.76 |
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- | 0.3532 | 14.0 | 182 | 0.7880 | 0.84 |
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- | 0.3394 | 15.0 | 195 | 0.7216 | 0.79 |
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- | 0.3311 | 16.0 | 208 | 0.7209 | 0.79 |
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- | 0.3367 | 17.0 | 221 | 0.6827 | 0.71 |
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- | 0.3673 | 18.0 | 234 | 0.7472 | 0.76 |
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- | 0.3024 | 19.0 | 247 | 0.7761 | 0.79 |
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- | 0.3624 | 20.0 | 260 | 0.7437 | 0.76 |
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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: 0.8
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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 imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6649
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+ - Accuracy: 0.8
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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: 5e-06
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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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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.3416 | 1.0 | 13 | 0.6767 | 0.81 |
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+ | 0.2745 | 2.0 | 26 | 0.7166 | 0.81 |
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+ | 0.2482 | 3.0 | 39 | 0.7644 | 0.83 |
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+ | 0.2664 | 4.0 | 52 | 0.7142 | 0.81 |
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+ | 0.2372 | 5.0 | 65 | 0.8010 | 0.85 |
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+ | 0.2238 | 6.0 | 78 | 0.8655 | 0.86 |
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+ | 0.1687 | 7.0 | 91 | 0.8156 | 0.83 |
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+ | 0.209 | 8.0 | 104 | 0.8460 | 0.83 |
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+ | 0.4251 | 9.0 | 117 | 0.7301 | 0.81 |
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+ | 0.4392 | 10.0 | 130 | 0.6775 | 0.78 |
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+ | 0.3285 | 11.0 | 143 | 0.7145 | 0.81 |
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+ | 0.3178 | 12.0 | 156 | 0.7431 | 0.83 |
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+ | 0.4715 | 13.0 | 169 | 0.6973 | 0.81 |
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+ | 0.373 | 14.0 | 182 | 0.6912 | 0.81 |
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+ | 0.3378 | 15.0 | 195 | 0.7018 | 0.82 |
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+ | 0.3867 | 16.0 | 208 | 0.6885 | 0.81 |
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+ | 0.3525 | 17.0 | 221 | 0.6761 | 0.81 |
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+ | 0.4253 | 18.0 | 234 | 0.6643 | 0.8 |
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+ | 0.325 | 19.0 | 247 | 0.6643 | 0.8 |
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+ | 0.372 | 20.0 | 260 | 0.6649 | 0.8 |
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  ### Framework versions
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