Model save

README.md

@@ -2,7 +2,6 @@
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
-- image-classification
 - generated_from_trainer
 metrics:
 - accuracy
@@ -16,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-base-beans-tutorial
 
-This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the beans dataset.
+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:
-- Loss: 0.2592
-- Accuracy: 0.9531
+- Loss: 0.1436
+- Accuracy: 0.9850
 
 ## Model description
 
@@ -38,7 +37,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 0.0002
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 1337
@@ -51,12 +50,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.0005        | 0.77  | 100  | 0.0211          | 0.9925   |
-| 0.0004        | 1.54  | 200  | 0.0329          | 0.9925   |
-| 0.0003        | 2.31  | 300  | 0.0391          | 0.9925   |
-| 0.0002        | 3.08  | 400  | 0.0434          | 0.9925   |
-| 0.0002        | 3.85  | 500  | 0.0457          | 0.9925   |
-| 0.0002        | 4.62  | 600  | 0.0476          | 0.9850   |
+| 0.0           | 0.77  | 100  | 0.0780          | 0.9925   |
+| 0.0           | 1.54  | 200  | 0.1820          | 0.9774   |
+| 0.0           | 2.31  | 300  | 0.1846          | 0.9774   |
+| 0.0           | 3.08  | 400  | 0.1543          | 0.9774   |
+| 0.0           | 3.85  | 500  | 0.1396          | 0.9850   |
+| 0.0           | 4.62  | 600  | 0.1436          | 0.9850   |
 
 
 ### Framework versions

model.safetensors

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 size 343227052

runs/Jan24_01-26-08_579caf070ae1/events.out.tfevents.1706059576.579caf070ae1.3225.9

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