arieg
/

spec_cls_80_v4

Image Classification

generated_from_keras_callback

Model card Files Files and versions

arieg commited on Nov 9, 2023

Commit

bde5a9f

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1 Parent(s): 5b11c1f

End of training

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README.md +8 -8
tf_model.h5 +1 -1

README.md CHANGED Viewed

@@ -15,9 +15,9 @@ 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: 2.2689
-- Validation Loss: 2.2250
-- Train Accuracy: 0.9938
 - Epoch: 4
 ## Model description
@@ -44,11 +44,11 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 4.2030     | 3.9580          | 0.6438         | 0     |
-| 3.6374     | 3.4238          | 0.9125         | 1     |
-| 3.0928     | 2.9867          | 0.9313         | 2     |
-| 2.6461     | 2.5622          | 0.9938         | 3     |
-| 2.2689     | 2.2250          | 0.9938         | 4     |
 ### 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: 1.5655
+- Validation Loss: 1.5375
+- Train Accuracy: 0.9875
 - Epoch: 4
 ## Model description
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
+| 3.9963     | 3.4778          | 0.8625         | 0     |
+| 3.0199     | 2.7171          | 0.9563         | 1     |
+| 2.3593     | 2.2002          | 0.9875         | 2     |
+| 1.9034     | 1.8255          | 0.9938         | 3     |
+| 1.5655     | 1.5375          | 0.9875         | 4     |
 ### Framework versions

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