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anum231
/
class2_v1

Image Classification
Transformers
TensorFlow
vit
generated_from_keras_callback
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anum231 commited on
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1 Parent(s): 1c30952

Training in progress epoch 3

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Files changed (4) hide show
  1. README.md +5 -4
  2. checkpoint/extra_data.pickle +1 -1
  3. checkpoint/weights.h5 +1 -1
  4. tf_model.h5 +1 -1
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 [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.6217
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- - Validation Loss: 0.5985
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- - Train Accuracy: 0.7586
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- - Epoch: 2
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  ## Model description
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@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
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  | 0.6922 | 0.6296 | 0.7241 | 0 |
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  | 0.6562 | 0.6218 | 0.6897 | 1 |
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  | 0.6217 | 0.5985 | 0.7586 | 2 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.6168
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+ - Validation Loss: 0.5412
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+ - Train Accuracy: 0.8276
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+ - Epoch: 3
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  ## Model description
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  | 0.6922 | 0.6296 | 0.7241 | 0 |
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  | 0.6562 | 0.6218 | 0.6897 | 1 |
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  | 0.6217 | 0.5985 | 0.7586 | 2 |
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+ | 0.6168 | 0.5412 | 0.8276 | 3 |
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  ### Framework versions
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