End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: google/vit-base-patch16-224-in21k
+base_model: anum231/cancer_classifier_100
 tags:
 - generated_from_keras_callback
 model-index:
@@ -13,10 +13,10 @@ probably proofread and complete it, then remove this comment. -->
 
 # anum231/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 [anum231/cancer_classifier_100](https://huggingface.co/anum231/cancer_classifier_100) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.0086
-- Validation Loss: 1.1500
+- Train Loss: 1.3380
+- Validation Loss: 3.3659
 - Train Accuracy: 0.0
 - Epoch: 4
 
@@ -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': 35, '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': 10, '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 |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 1.0633     | 1.1575          | 0.0            | 0     |
-| 1.0952     | 1.1492          | 0.0            | 1     |
-| 1.0934     | 1.1538          | 0.0            | 2     |
-| 1.0465     | 1.1544          | 0.0            | 3     |
-| 1.0086     | 1.1500          | 0.0            | 4     |
+| 1.4008     | 3.2711          | 0.0            | 0     |
+| 0.9698     | 3.3070          | 0.0            | 1     |
+| 1.2236     | 3.3253          | 0.0            | 2     |
+| 0.7776     | 3.3429          | 0.0            | 3     |
+| 1.3380     | 3.3659          | 0.0            | 4     |
 
 
 ### Framework versions

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "google/vit-base-patch16-224-in21k",
+  "_name_or_path": "anum231/cancer_classifier_100",
   "architectures": [
     "ViTForImageClassification"
   ],

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2a18c91c6a52132829cb0e60ec29b28e3591f71b7fff10686272a79c2096909e
-size 343472824
+oid sha256:c8758fe64cda9a897dd0f15af0331a65db622640718da6d14cbe00fa42ef5bfc
+size 343489208