feizhe
/

vit-base-patch16-224-in21k-pheno-run5

Image Classification

generated_from_keras_callback

Inference Endpoints

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feizhe commited on Apr 14

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727a0bc

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1 Parent(s): 1998da0

Training in progress epoch 2

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

README.md CHANGED Viewed

@@ -15,13 +15,13 @@ 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: 0.1564
-- Train Accuracy: 0.9891
 - Train Top-3-accuracy: 1.0
-- Validation Loss: 1.3742
 - Validation Accuracy: 0.5731
-- Validation Top-3-accuracy: 0.9181
-- Epoch: 1
 ## Model description
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
 | 0.7826     | 0.7716         | 0.9705               | 1.1364          | 0.5965              | 0.9532                    | 0     |
 | 0.1564     | 0.9891         | 1.0                  | 1.3742          | 0.5731              | 0.9181                    | 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: 0.0782
+- Train Accuracy: 0.9985
 - Train Top-3-accuracy: 1.0
+- Validation Loss: 1.4406
 - Validation Accuracy: 0.5731
+- Validation Top-3-accuracy: 0.9298
+- Epoch: 2
 ## Model description
 |:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
 | 0.7826     | 0.7716         | 0.9705               | 1.1364          | 0.5965              | 0.9532                    | 0     |
 | 0.1564     | 0.9891         | 1.0                  | 1.3742          | 0.5731              | 0.9181                    | 1     |
+| 0.0782     | 0.9985         | 1.0                  | 1.4406          | 0.5731              | 0.9298                    | 2     |
 ### Framework versions

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