End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: google/vit-base-patch16-224-in21k
+base_model: agusg6/food_classifier
 tags:
 - generated_from_keras_callback
 model-index:
@@ -13,11 +13,11 @@ probably proofread and complete it, then remove this comment. -->
 
 # agusg6/food_classifier
 
-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.
+This model is a fine-tuned version of [agusg6/food_classifier](https://huggingface.co/agusg6/food_classifier) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.8003
-- Validation Loss: 0.8361
-- Train Accuracy: 0.6188
+- Train Loss: 0.8050
+- Validation Loss: 0.8146
+- Train Accuracy: 0.6475
 - Epoch: 4
 
 ## Model description
@@ -37,18 +37,18 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 4035, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
+- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 5545, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
 - training_precision: float32
 
 ### Training results
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 0.9397     | 0.8601          | 0.6337         | 0     |
-| 0.8864     | 0.8469          | 0.6436         | 1     |
-| 0.8482     | 0.8817          | 0.5842         | 2     |
-| 0.8441     | 0.8652          | 0.6139         | 3     |
-| 0.8003     | 0.8361          | 0.6188         | 4     |
+| 0.8657     | 0.8197          | 0.6403         | 0     |
+| 0.8443     | 0.8155          | 0.6331         | 1     |
+| 0.8306     | 0.8137          | 0.6511         | 2     |
+| 0.8273     | 0.8319          | 0.6511         | 3     |
+| 0.8050     | 0.8146          | 0.6475         | 4     |
 
 
 ### Framework versions

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "google/vit-base-patch16-224-in21k",
+  "_name_or_path": "agusg6/food_classifier",
   "architectures": [
     "ViTForImageClassification"
   ],

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2a39ed4e8611bce99075d1693721f4be401e06b03c4c38e5c53cd4f06ed9401b
+oid sha256:a9f024374ec5e8a1fd3cc1ee1e84934ec09263ff0bb43f54f1a9df5fdc82757d
 size 343489208