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CynthiaCR
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emotions_classifier

Image Classification
Transformers
TensorFlow
vit
generated_from_keras_callback
Inference Endpoints
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CynthiaCR commited on
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End of training

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  1. README.md +23 -23
  2. tf_model.h5 +2 -2
README.md CHANGED
@@ -14,9 +14,9 @@ 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: 2.0778
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- - Validation Loss: 2.0976
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- - Train Accuracy: 0.1062
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  - Epoch: 19
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  ## Model description
@@ -43,26 +43,26 @@ 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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- | 2.0842 | 2.0801 | 0.1625 | 0 |
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- | 2.0806 | 2.0828 | 0.1 | 1 |
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- | 2.0807 | 2.0852 | 0.1 | 2 |
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- | 2.0813 | 2.0829 | 0.1562 | 3 |
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- | 2.0793 | 2.0806 | 0.1 | 4 |
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- | 2.0921 | 2.1075 | 0.1 | 5 |
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- | 2.0990 | 2.0887 | 0.1437 | 6 |
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- | 2.0939 | 2.0843 | 0.1437 | 7 |
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- | 2.0864 | 2.0863 | 0.125 | 8 |
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- | 2.0846 | 2.0791 | 0.1313 | 9 |
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- | 2.0827 | 2.0852 | 0.1 | 10 |
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- | 2.0823 | 2.0857 | 0.1 | 11 |
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- | 2.0813 | 2.0846 | 0.1062 | 12 |
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- | 2.0808 | 2.0841 | 0.1187 | 13 |
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- | 2.0813 | 2.0851 | 0.1187 | 14 |
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- | 2.0822 | 2.0833 | 0.1 | 15 |
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- | 2.0804 | 2.0838 | 0.1 | 16 |
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- | 2.0799 | 2.0834 | 0.1 | 17 |
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- | 2.0786 | 2.0837 | 0.1 | 18 |
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- | 2.0778 | 2.0976 | 0.1062 | 19 |
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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: 1.3846
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+ - Validation Loss: 1.6122
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+ - Train Accuracy: 0.2687
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  - Epoch: 19
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  ## Model description
 
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  | Train Loss | Validation Loss | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:--------------:|:-----:|
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+ | 2.0363 | 2.0960 | 0.1 | 0 |
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+ | 2.0822 | 2.1254 | 0.0813 | 1 |
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+ | 1.9916 | 1.9392 | 0.2062 | 2 |
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+ | 1.9223 | 1.8385 | 0.1688 | 3 |
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+ | 1.8213 | 1.7294 | 0.2313 | 4 |
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+ | 1.6940 | 1.6953 | 0.2625 | 5 |
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+ | 1.7153 | 1.6009 | 0.3187 | 6 |
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+ | 1.5788 | 1.6385 | 0.275 | 7 |
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+ | 1.5359 | 1.5635 | 0.3438 | 8 |
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+ | 1.4768 | 1.6180 | 0.325 | 9 |
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+ | 1.4746 | 1.6063 | 0.3125 | 10 |
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+ | 1.5163 | 1.5641 | 0.3625 | 11 |
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+ | 1.4692 | 1.5722 | 0.3063 | 12 |
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+ | 1.4468 | 1.7363 | 0.35 | 13 |
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+ | 1.7116 | 1.7531 | 0.2687 | 14 |
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+ | 1.5334 | 1.5908 | 0.2562 | 15 |
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+ | 1.4988 | 1.5169 | 0.3312 | 16 |
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+ | 1.4605 | 1.5041 | 0.2812 | 17 |
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+ | 1.3545 | 1.4824 | 0.3187 | 18 |
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+ | 1.3846 | 1.6122 | 0.2687 | 19 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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