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SaladSlayer00
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twin_matcher_beta

Image Classification
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resnet
generated_from_keras_callback
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Training in progress epoch 5

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Files changed (8) hide show
  1. .gitattributes +2 -0
  2. README.md +5 -4
  3. checkpoints/checkpoint +2 -2
  4. checkpoints/model-0005.ckpt.data-00000-of-00001 +3 -0
  5. checkpoints/model-0005.ckpt.index +3 -0
  6. logs/train/events.out.tfevents.1704568236.87b9e22aca65.2413.0.v2 +2 -2
  7. logs/validation/events.out.tfevents.1704568385.87b9e22aca65.2413.1.v2 +2 -2
  8. tf_model.h5 +1 -1
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@@ -41,3 +41,5 @@ checkpoints/model-0003.ckpt.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -t
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  checkpoints/model-0003.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: 3.4256
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- - Validation Loss: 3.2568
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- - Validation Accuracy: 0.2597
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- - Epoch: 4
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  ## Model description
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@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
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  | 4.3536 | 4.1337 | 0.1221 | 2 |
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  | 3.8915 | 3.6650 | 0.2053 | 3 |
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  | 3.4256 | 3.2568 | 0.2597 | 4 |
 
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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: 3.0033
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+ - Validation Loss: 2.8885
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+ - Validation Accuracy: 0.3185
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+ - Epoch: 5
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  ## Model description
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  | 4.3536 | 4.1337 | 0.1221 | 2 |
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  | 3.8915 | 3.6650 | 0.2053 | 3 |
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  | 3.4256 | 3.2568 | 0.2597 | 4 |
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+ | 3.0033 | 2.8885 | 0.3185 | 5 |
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  ### Framework versions
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