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NabeelShar
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emotions_classifier

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

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  1. README.md +24 -9
  2. 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: 1.8333
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- - Validation Loss: 1.8126
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- - Train Accuracy: 0.1875
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- - Epoch: 4
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  ## Model description
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@@ -44,11 +44,26 @@ 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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- | 2.0313 | 1.7571 | 0.2875 | 0 |
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- | 1.9371 | 1.9988 | 0.1812 | 1 |
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- | 1.9355 | 1.8991 | 0.2062 | 2 |
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- | 1.9041 | 1.6996 | 0.2875 | 3 |
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- | 1.8333 | 1.8126 | 0.1875 | 4 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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: 1.0970
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+ - Validation Loss: 1.4980
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+ - Train Accuracy: 0.3812
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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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+ | 1.7454 | 1.6307 | 0.2687 | 0 |
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+ | 1.6735 | 1.6088 | 0.2938 | 1 |
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+ | 1.6696 | 1.6623 | 0.2562 | 2 |
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+ | 1.7155 | 1.6548 | 0.275 | 3 |
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+ | 1.6384 | 1.6099 | 0.275 | 4 |
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+ | 1.5534 | 1.5876 | 0.2875 | 5 |
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+ | 1.4835 | 1.6106 | 0.3063 | 6 |
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+ | 1.4847 | 1.5899 | 0.2812 | 7 |
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+ | 1.4656 | 1.5713 | 0.35 | 8 |
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+ | 1.4102 | 1.6084 | 0.3438 | 9 |
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+ | 1.3768 | 1.5915 | 0.3875 | 10 |
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+ | 1.4581 | 1.6182 | 0.3438 | 11 |
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+ | 1.4529 | 1.5439 | 0.35 | 12 |
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+ | 1.3022 | 1.5749 | 0.3812 | 13 |
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+ | 1.3009 | 1.5707 | 0.4 | 14 |
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+ | 1.2743 | 1.9213 | 0.3 | 15 |
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+ | 1.2193 | 1.5474 | 0.3625 | 16 |
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+ | 1.1424 | 1.5408 | 0.3625 | 17 |
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+ | 1.1760 | 1.7601 | 0.3625 | 18 |
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+ | 1.0970 | 1.4980 | 0.3812 | 19 |
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  ### Framework versions
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