End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: google/vit-base-patch16-224-in21k
+base_model: jessicagabriel/my_awesome_food_model
 tags:
 - generated_from_trainer
 datasets:
@@ -17,12 +17,12 @@ model-index:
       name: food101
       type: food101
       config: default
-      split: train[:5000]
+      split: train
       args: default
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.881
+      value: 0.8900990099009901
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # my_awesome_food_model
 
-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 food101 dataset.
+This model is a fine-tuned version of [jessicagabriel/my_awesome_food_model](https://huggingface.co/jessicagabriel/my_awesome_food_model) on the food101 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6912
-- Accuracy: 0.881
+- Loss: 0.4388
+- Accuracy: 0.8901
 
 ## Model description
 
@@ -61,15 +61,22 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 3
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.7391        | 0.99  | 62   | 2.5977          | 0.824    |
-| 1.9058        | 2.0   | 125  | 1.8593          | 0.868    |
-| 1.6895        | 2.98  | 186  | 1.6912          | 0.881    |
+| 0.4631        | 1.0   | 947  | 0.4695          | 0.8811   |
+| 0.4759        | 2.0   | 1894 | 0.5028          | 0.8700   |
+| 0.3744        | 3.0   | 2841 | 0.4840          | 0.8754   |
+| 0.3198        | 4.0   | 3788 | 0.4823          | 0.8769   |
+| 0.3655        | 5.0   | 4735 | 0.4658          | 0.8815   |
+| 0.2994        | 6.0   | 5682 | 0.4854          | 0.8770   |
+| 0.2268        | 7.0   | 6629 | 0.4617          | 0.8837   |
+| 0.2735        | 8.0   | 7576 | 0.4479          | 0.8874   |
+| 0.1579        | 9.0   | 8523 | 0.4487          | 0.8874   |
+| 0.2327        | 10.0  | 9470 | 0.4388          | 0.8901   |
 
 
 ### Framework versions