NabeelShar
/

emotions_classifier

Image Classification

generated_from_keras_callback

Inference Endpoints

Model card Files Files and versions Community

NabeelShar commited on Sep 15, 2023

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1 Parent(s): 4d6e4c5

End of training

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README.md +5 -6
tf_model.h5 +1 -1

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@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
 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.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.2387
-- Validation Loss: 2.1972
-- Train Accuracy: 0.4375
-- Epoch: 1
 ## Model description
@@ -44,8 +44,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 0.1823     | 2.2464          | 0.4562         | 0     |
-| 0.2387     | 2.1972          | 0.4375         | 1     |
 ### Framework versions

 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.
 It achieves the following results on the evaluation set:
+- Train Loss: 0.2082
+- Validation Loss: 2.3230
+- Train Accuracy: 0.425
+- Epoch: 0
 ## Model description
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
+| 0.2082     | 2.3230          | 0.425          | 0     |
 ### Framework versions

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