saffin
/

vit_food101

Image Classification

generated_from_keras_callback

Inference Endpoints

Model card Files Files and versions Community

saffin commited on Apr 29

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cfc21fe

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1 Parent(s): 442351a

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: 0.3710
-- Validation Loss: 0.3095
-- Train Accuracy: 0.925
 - Epoch: 4
 ## Model description
@@ -44,11 +44,11 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 2.7937     | 1.6012          | 0.858          | 0     |
-| 1.2198     | 0.8063          | 0.894          | 1     |
-| 0.6901     | 0.5089          | 0.91           | 2     |
-| 0.4833     | 0.3911          | 0.907          | 3     |
-| 0.3710     | 0.3095          | 0.925          | 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: 0.3769
+- Validation Loss: 0.3429
+- Train Accuracy: 0.917
 - Epoch: 4
 ## Model description
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
+| 2.8373     | 1.7012          | 0.802          | 0     |
+| 1.2331     | 0.8580          | 0.866          | 1     |
+| 0.7057     | 0.5621          | 0.89           | 2     |
+| 0.4982     | 0.4215          | 0.908          | 3     |
+| 0.3769     | 0.3429          | 0.917          | 4     |
 ### Framework versions

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