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mujerry
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swin-tiny-patch4-window7-224-finetuned-papsmear

Image Classification
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mujerry commited on
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1 Parent(s): 3c8795d

End of training

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Files changed (5) hide show
  1. README.md +1 -1
  2. all_results.json +12 -12
  3. eval_results.json +7 -7
  4. train_results.json +7 -7
  5. trainer_state.json +0 -0
README.md CHANGED
@@ -33,7 +33,7 @@ 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 imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3036
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  - Accuracy: 0.9779
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  ## Model description
 
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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: 0.2644
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  - Accuracy: 0.9779
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  ## Model description
all_results.json CHANGED
@@ -1,13 +1,13 @@
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- {
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- "epoch": 2.769230769230769,
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- "eval_accuracy": 0.5882352941176471,
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- "eval_loss": 1.1057605743408203,
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- "eval_runtime": 28.5419,
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- "eval_samples_per_second": 4.765,
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- "eval_steps_per_second": 0.175,
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- "total_flos": 8.47186783811666e+16,
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- "train_loss": 1.3284762523792408,
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- "train_runtime": 800.6992,
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- "train_samples_per_second": 4.586,
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- "train_steps_per_second": 0.034
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  }
 
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+ {
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+ "epoch": 99.34640522875817,
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+ "eval_accuracy": 0.9779411764705882,
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+ "eval_loss": 0.2643776834011078,
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+ "eval_runtime": 20.603,
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+ "eval_samples_per_second": 6.601,
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+ "eval_steps_per_second": 0.825,
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+ "total_flos": 3.0228260830838784e+18,
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+ "train_loss": 0.1524556069365874,
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+ "train_runtime": 23400.6351,
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+ "train_samples_per_second": 5.231,
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+ "train_steps_per_second": 0.162
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  }
eval_results.json CHANGED
@@ -1,8 +1,8 @@
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- {
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- "epoch": 2.769230769230769,
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- "eval_accuracy": 0.5882352941176471,
4
- "eval_loss": 1.1057605743408203,
5
- "eval_runtime": 28.5419,
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- "eval_samples_per_second": 4.765,
7
- "eval_steps_per_second": 0.175
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  }
 
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+ {
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+ "epoch": 99.34640522875817,
3
+ "eval_accuracy": 0.9779411764705882,
4
+ "eval_loss": 0.2643776834011078,
5
+ "eval_runtime": 20.603,
6
+ "eval_samples_per_second": 6.601,
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+ "eval_steps_per_second": 0.825
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  }
train_results.json CHANGED
@@ -1,8 +1,8 @@
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- {
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- "epoch": 2.769230769230769,
3
- "total_flos": 8.47186783811666e+16,
4
- "train_loss": 1.3284762523792408,
5
- "train_runtime": 800.6992,
6
- "train_samples_per_second": 4.586,
7
- "train_steps_per_second": 0.034
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  }
 
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+ {
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+ "epoch": 99.34640522875817,
3
+ "total_flos": 3.0228260830838784e+18,
4
+ "train_loss": 0.1524556069365874,
5
+ "train_runtime": 23400.6351,
6
+ "train_samples_per_second": 5.231,
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+ "train_steps_per_second": 0.162
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  }
trainer_state.json CHANGED
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