Augusto777 commited on
Commit
30ff47f
·
verified ·
1 Parent(s): eafff58

End of training

Browse files
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
22
  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.8836363636363637
26
  ---
27
 
28
  <!-- 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. -->
32
 
33
  This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3399
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- - Accuracy: 0.8836
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  ## Model description
39
 
@@ -67,46 +67,46 @@ The following hyperparameters were used during training:
67
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
69
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 1.2888 | 0.99 | 40 | 1.2042 | 0.4927 |
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- | 0.8739 | 1.99 | 80 | 0.6776 | 0.7491 |
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- | 0.7913 | 2.98 | 120 | 0.5920 | 0.7618 |
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- | 0.6803 | 4.0 | 161 | 0.5377 | 0.7691 |
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- | 0.624 | 4.99 | 201 | 0.5212 | 0.7745 |
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- | 0.6068 | 5.99 | 241 | 0.5286 | 0.82 |
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- | 0.6274 | 6.98 | 281 | 0.4594 | 0.84 |
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- | 0.5571 | 8.0 | 322 | 0.4194 | 0.8491 |
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- | 0.5803 | 8.99 | 362 | 0.4615 | 0.82 |
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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: 0.616822429906542
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  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
32
 
33
  This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 0.6580
36
+ - Accuracy: 0.6168
37
 
38
  ## Model description
39
 
 
67
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
69
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 8 | 4.5659 | 0.4112 |
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+ | 0.6151 | 39.0 | 312 | 0.6785 | 0.5981 |
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+ | 0.6291 | 40.0 | 320 | 0.6806 | 0.5981 |
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  ### Framework versions
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