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swin-tiny-patch4-window7-224-finetuned-RCC

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  1. README.md +10 -10
  2. model.safetensors +1 -1
  3. runs/May24_17-00-00_RTX3090/events.out.tfevents.1716537603.RTX3090.3776938.2 +2 -2
README.md CHANGED
@@ -20,7 +20,7 @@ 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 None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3565
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  - Accuracy: 0.9032
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  - Precision: 0.9032
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  - Recall: 1.0
@@ -59,15 +59,15 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Auc |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:---:|
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- | No log | 0.8571 | 3 | 0.3383 | 0.9032 | 0.9032 | 1.0 | 0.4746 | 0.5 |
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- | No log | 2.0 | 7 | 0.3654 | 0.9032 | 0.9032 | 1.0 | 0.4746 | 0.5 |
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- | 0.3833 | 2.8571 | 10 | 0.3422 | 0.9032 | 0.9032 | 1.0 | 0.4746 | 0.5 |
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- | 0.3833 | 4.0 | 14 | 0.3556 | 0.9032 | 0.9032 | 1.0 | 0.4746 | 0.5 |
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- | 0.3833 | 4.8571 | 17 | 0.3425 | 0.9032 | 0.9032 | 1.0 | 0.4746 | 0.5 |
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- | 0.2492 | 6.0 | 21 | 0.3401 | 0.9032 | 0.9032 | 1.0 | 0.4746 | 0.5 |
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- | 0.2492 | 6.8571 | 24 | 0.3543 | 0.9032 | 0.9032 | 1.0 | 0.4746 | 0.5 |
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- | 0.2492 | 8.0 | 28 | 0.3572 | 0.9032 | 0.9032 | 1.0 | 0.4746 | 0.5 |
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- | 0.2304 | 8.5714 | 30 | 0.3565 | 0.9032 | 0.9032 | 1.0 | 0.4746 | 0.5 |
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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 None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3261
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  - Accuracy: 0.9032
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  - Precision: 0.9032
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  - Recall: 1.0
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Auc |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:---:|
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+ | No log | 0.8571 | 3 | 0.3023 | 0.9032 | 0.9032 | 1.0 | 0.4746 | 0.5 |
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+ | No log | 2.0 | 7 | 0.3677 | 0.9032 | 0.9032 | 1.0 | 0.4746 | 0.5 |
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+ | 0.4028 | 2.8571 | 10 | 0.3276 | 0.9032 | 0.9032 | 1.0 | 0.4746 | 0.5 |
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+ | 0.4028 | 4.0 | 14 | 0.3286 | 0.9032 | 0.9032 | 1.0 | 0.4746 | 0.5 |
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+ | 0.4028 | 4.8571 | 17 | 0.3271 | 0.9032 | 0.9032 | 1.0 | 0.4746 | 0.5 |
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+ | 0.2494 | 6.0 | 21 | 0.3259 | 0.9032 | 0.9032 | 1.0 | 0.4746 | 0.5 |
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+ | 0.2494 | 6.8571 | 24 | 0.3279 | 0.9032 | 0.9032 | 1.0 | 0.4746 | 0.5 |
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+ | 0.2494 | 8.0 | 28 | 0.3267 | 0.9032 | 0.9032 | 1.0 | 0.4746 | 0.5 |
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+ | 0.2351 | 8.5714 | 30 | 0.3261 | 0.9032 | 0.9032 | 1.0 | 0.4746 | 0.5 |
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  ### Framework versions
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