End of training

README.md

@@ -15,9 +15,9 @@ 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: 1.3380
-- Validation Loss: 3.3659
-- Train Accuracy: 0.0
+- Train Loss: 0.5815
+- Validation Loss: 0.4561
+- Train Accuracy: 0.8276
 - Epoch: 4
 
 ## Model description
@@ -37,23 +37,23 @@ 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': 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}
+- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 1160, '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 |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 1.4008     | 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     |
+| 0.6210     | 0.4706          | 0.8276         | 0     |
+| 0.6095     | 0.4583          | 0.8103         | 1     |
+| 0.6289     | 0.4566          | 0.8103         | 2     |
+| 0.6230     | 0.5850          | 0.7241         | 3     |
+| 0.5815     | 0.4561          | 0.8276         | 4     |
 
 
 ### Framework versions
 
-- Transformers 4.35.2
+- Transformers 4.38.1
 - TensorFlow 2.15.0
-- Datasets 2.16.1
-- Tokenizers 0.15.1
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

@@ -9,17 +9,17 @@
   "hidden_dropout_prob": 0.0,
   "hidden_size": 768,
   "id2label": {
-    "0": "SCC",
-    "1": "IEC",
-    "2": "BCC"
+    "0": "BCC",
+    "1": "SCC",
+    "2": "IEC"
   },
   "image_size": 224,
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
-    "BCC": "2",
-    "IEC": "1",
-    "SCC": "0"
+    "BCC": "0",
+    "IEC": "2",
+    "SCC": "1"
   },
   "layer_norm_eps": 1e-12,
   "model_type": "vit",
@@ -28,5 +28,5 @@
   "num_hidden_layers": 12,
   "patch_size": 16,
   "qkv_bias": true,
-  "transformers_version": "4.35.2"
+  "transformers_version": "4.38.1"
 }

tf_model.h5

@@ -1,3 +1,3 @@
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-size 343489208
+oid sha256:6fb763d4caabc43a62c98b7dc744e17aff9247666dcd905a4b7db02fcff096b0
+size 343472824