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twin_matcher_beta

Image Classification
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resnet
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Training in progress epoch 11

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  1. .gitattributes +2 -0
  2. README.md +5 -4
  3. checkpoints/checkpoint +2 -2
  4. checkpoints/model-0011.ckpt.data-00000-of-00001 +3 -0
  5. checkpoints/model-0011.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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@@ -53,3 +53,5 @@ checkpoints/model-0009.ckpt.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -t
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  checkpoints/model-0009.ckpt.index filter=lfs diff=lfs merge=lfs -text
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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: 1.4693
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- - Validation Loss: 1.8008
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- - Validation Accuracy: 0.5627
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- - Epoch: 10
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  ## Model description
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@@ -55,6 +55,7 @@ The following hyperparameters were used during training:
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  | 1.9821 | 2.1352 | 0.4928 | 8 |
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  | 1.7076 | 1.9428 | 0.5250 | 9 |
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  | 1.4693 | 1.8008 | 0.5627 | 10 |
 
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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: 1.2464
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+ - Validation Loss: 1.6763
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+ - Validation Accuracy: 0.5949
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+ - Epoch: 11
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  ## Model description
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  | 1.9821 | 2.1352 | 0.4928 | 8 |
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  | 1.7076 | 1.9428 | 0.5250 | 9 |
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  | 1.4693 | 1.8008 | 0.5627 | 10 |
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+ | 1.2464 | 1.6763 | 0.5949 | 11 |
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  ### Framework versions
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