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End of training

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  1. README.md +8 -8
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -15,8 +15,8 @@ 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: 2.7907
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- - Validation Loss: 2.5855
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  - Train Accuracy: 1.0
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  - Epoch: 4
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@@ -44,11 +44,11 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:--------------:|:-----:|
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- | 4.4326 | 4.2160 | 0.95 | 0 |
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- | 4.0335 | 3.8139 | 1.0 | 1 |
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- | 3.6154 | 3.3574 | 1.0 | 2 |
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- | 3.1938 | 2.9409 | 1.0 | 3 |
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- | 2.7907 | 2.5855 | 1.0 | 4 |
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  ### Framework versions
@@ -56,4 +56,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.35.2
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  - TensorFlow 2.15.0
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  - Datasets 2.17.0
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- - Tokenizers 0.15.1
 
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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: 3.0402
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+ - Validation Loss: 2.9013
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  - Train Accuracy: 1.0
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  - Epoch: 4
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  | Train Loss | Validation Loss | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:--------------:|:-----:|
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+ | 4.5433 | 4.3217 | 0.75 | 0 |
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+ | 4.1725 | 3.9809 | 1.0 | 1 |
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+ | 3.8289 | 3.6061 | 1.0 | 2 |
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+ | 3.4173 | 3.2314 | 1.0 | 3 |
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+ | 3.0402 | 2.9013 | 1.0 | 4 |
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  ### Framework versions
 
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  - Transformers 4.35.2
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  - TensorFlow 2.15.0
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  - Datasets 2.17.0
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+ - Tokenizers 0.15.2
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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