Model save

README.md

@@ -1,9 +1,10 @@
 ---
 license: apache-2.0
-base_model: google/vit-base-patch16-224-in21k
+base_model: google/vit-large-patch16-224-in21k
 tags:
-- image-classification
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: vit-base-beans-demo-v5
   results: []
@@ -14,15 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-base-beans-demo-v5
 
-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 iee_clas dataset.
+This model is a fine-tuned version of [google/vit-large-patch16-224-in21k](https://huggingface.co/google/vit-large-patch16-224-in21k) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.0386
-- eval_accuracy: 0.9916
-- eval_runtime: 19.4296
-- eval_samples_per_second: 61.298
-- eval_steps_per_second: 7.669
-- epoch: 0.45
-- step: 300
+- Loss: 0.0397
+- Accuracy: 0.9916
 
 ## Model description
 
@@ -41,7 +37,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 8e-07
+- learning_rate: 1e-06
 - train_batch_size: 16
 - eval_batch_size: 8
 - seed: 42
@@ -49,6 +45,17 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 1
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.004         | 0.17  | 100  | 0.0441          | 0.9903   |
+| 0.0025        | 0.34  | 200  | 0.0424          | 0.9903   |
+| 0.0019        | 0.5   | 300  | 0.0406          | 0.9908   |
+| 0.0015        | 0.67  | 400  | 0.0398          | 0.9916   |
+| 0.0019        | 0.84  | 500  | 0.0397          | 0.9916   |
+
+
 ### Framework versions
 
 - Transformers 4.33.1