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SaladSlayer00
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twin_matcher_beta

Image Classification
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resnet
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Training in progress epoch 25

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  1. .gitattributes +2 -0
  2. README.md +5 -4
  3. checkpoints/checkpoint +2 -2
  4. checkpoints/model-0025.ckpt.data-00000-of-00001 +3 -0
  5. checkpoints/model-0025.ckpt.index +3 -0
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  7. logs/validation/events.out.tfevents.1704568385.87b9e22aca65.2413.1.v2 +2 -2
  8. tf_model.h5 +1 -1
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README.md CHANGED
@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.1313
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- - Validation Loss: 1.1949
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- - Validation Accuracy: 0.6781
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- - Epoch: 24
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  ## Model description
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@@ -69,6 +69,7 @@ The following hyperparameters were used during training:
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  | 0.1750 | 1.2206 | 0.6781 | 22 |
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  | 0.1553 | 1.1853 | 0.6970 | 23 |
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  | 0.1313 | 1.1949 | 0.6781 | 24 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.1058
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+ - Validation Loss: 1.1935
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+ - Validation Accuracy: 0.6870
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+ - Epoch: 25
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  ## Model description
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  | 0.1750 | 1.2206 | 0.6781 | 22 |
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  | 0.1553 | 1.1853 | 0.6970 | 23 |
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  | 0.1313 | 1.1949 | 0.6781 | 24 |
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+ | 0.1058 | 1.1935 | 0.6870 | 25 |
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  ### Framework versions
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