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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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End of training

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  1. README.md +6 -24
  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: 0.1967
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- - Validation Loss: 2.2308
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- - Train Accuracy: 0.4125
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- - Epoch: 19
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  ## Model description
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@@ -44,26 +44,8 @@ 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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- | 0.9733 | 1.7759 | 0.4 | 0 |
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- | 0.9887 | 1.5178 | 0.4562 | 1 |
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- | 0.9215 | 1.5833 | 0.4062 | 2 |
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- | 0.8050 | 1.6781 | 0.3875 | 3 |
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- | 0.7375 | 1.6757 | 0.45 | 4 |
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- | 0.8264 | 1.4876 | 0.475 | 5 |
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- | 0.6653 | 1.5971 | 0.4813 | 6 |
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- | 0.5938 | 1.8312 | 0.4188 | 7 |
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- | 0.5813 | 1.7869 | 0.4625 | 8 |
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- | 0.5660 | 1.8466 | 0.4375 | 9 |
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- | 0.5113 | 1.8829 | 0.4437 | 10 |
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- | 0.4774 | 1.7442 | 0.4188 | 11 |
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- | 0.3519 | 2.0356 | 0.4313 | 12 |
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- | 0.4080 | 1.9572 | 0.4313 | 13 |
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- | 0.3292 | 1.9208 | 0.4437 | 14 |
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- | 0.2668 | 2.0447 | 0.4562 | 15 |
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- | 0.2678 | 2.1450 | 0.3937 | 16 |
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- | 0.2556 | 2.1900 | 0.4562 | 17 |
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- | 0.1748 | 2.1947 | 0.4625 | 18 |
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- | 0.1967 | 2.2308 | 0.4125 | 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: 0.2387
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+ - Validation Loss: 2.1972
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+ - Train Accuracy: 0.4375
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+ - Epoch: 1
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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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+ | 0.1823 | 2.2464 | 0.4562 | 0 |
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+ | 0.2387 | 2.1972 | 0.4375 | 1 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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