Training in progress epoch 0

README.md

@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
 
 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: 0.6885
-- Validation Loss: 0.5882
-- Train Accuracy: 0.7759
-- Epoch: 1
+- Train Loss: 1.0644
+- Validation Loss: 0.9210
+- Train Accuracy: 0.5690
+- Epoch: 0
 
 ## Model description
 
@@ -37,15 +37,14 @@ 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': 2320, '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': 4640, '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 |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 0.7286     | 0.7370          | 0.6724         | 0     |
-| 0.6885     | 0.5882          | 0.7759         | 1     |
+| 1.0644     | 0.9210          | 0.5690         | 0     |
 
 
 ### Framework versions

checkpoint/extra_data.pickle

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 size 686423311

checkpoint/weights.h5

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config.json

@@ -10,16 +10,16 @@
   "hidden_size": 768,
   "id2label": {
     "0": "BCC",
-    "1": "IEC",
-    "2": "SCC"
+    "1": "SCC",
+    "2": "IEC"
   },
   "image_size": 224,
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
     "BCC": "0",
-    "IEC": "1",
-    "SCC": "2"
+    "IEC": "2",
+    "SCC": "1"
   },
   "layer_norm_eps": 1e-12,
   "model_type": "vit",

tf_model.h5

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