Circularmachines
/

Batch_indexing_machine_ViT

Image Classification

generated_from_keras_callback

Model card Files Files and versions Community

Circularmachines commited on May 5, 2023

Commit

06aaa09

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1 Parent(s): 2e16fae

Training in progress epoch 3

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README.md +4 -3
tf_model.h5 +1 -1

README.md CHANGED Viewed

@@ -14,9 +14,9 @@ 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: 0.6343
-- Train Accuracy: 0.6728
-- Epoch: 2
 ## Model description
@@ -45,6 +45,7 @@ The following hyperparameters were used during training:
 | 0.6457     | 0.6543         | 0     |
 | 0.6367     | 0.6706         | 1     |
 | 0.6343     | 0.6728         | 2     |
 ### 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: 0.6424
+- Train Accuracy: 0.6604
+- Epoch: 3
 ## Model description
 | 0.6457     | 0.6543         | 0     |
 | 0.6367     | 0.6706         | 1     |
 | 0.6343     | 0.6728         | 2     |
+| 0.6424     | 0.6604         | 3     |
 ### Framework versions

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