Training in progress epoch 0

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:
@@ -13,12 +13,12 @@ probably proofread and complete it, then remove this comment. -->
 
 # anum231/cancer_classifier_100
 
-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: 0.7912
-- Validation Loss: 0.6198
-- Train Accuracy: 0.8103
-- Epoch: 9
+- Train Loss: 1.1426
+- Validation Loss: 1.0571
+- Train Accuracy: 0.4310
+- Epoch: 0
 
 ## Model description
 
@@ -44,16 +44,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 0.9986     | 0.8395          | 0.6897         | 0     |
-| 0.9832     | 0.8074          | 0.7069         | 1     |
-| 0.9650     | 0.7844          | 0.7586         | 2     |
-| 0.9108     | 0.7633          | 0.7931         | 3     |
-| 0.9137     | 0.6891          | 0.7759         | 4     |
-| 0.8957     | 0.6803          | 0.8448         | 5     |
-| 0.8707     | 0.6485          | 0.7931         | 6     |
-| 0.8478     | 0.6382          | 0.8103         | 7     |
-| 0.8592     | 0.6096          | 0.8103         | 8     |
-| 0.7912     | 0.6198          | 0.8103         | 9     |
+| 1.1426     | 1.0571          | 0.4310         | 0     |
 
 
 ### Framework versions

checkpoint/extra_data.pickle

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f3bc7fb505e9a167e61fd2b3231f0c2ab07ceaacfa54cb82b3423f491dc9e5de
+oid sha256:b1352f6f398ba5f933bfa106dd10a56cb7eb919b117ea2db14eb54cacc970749
 size 686423311

checkpoint/weights.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e2f5793b6591b6651fda0dc4e2792d0ab5379353d026098befc22d3c9b35545e
+oid sha256:73d04b22a38ab1a4a028cdd83fa88deac5a5d4ef1b7d9908fa797c3c8702a3e0
 size 343472824

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "google/vit-base-patch16-224-in21k",
+  "_name_or_path": "anum231/cancer_classifier_100",
   "architectures": [
     "ViTForImageClassification"
   ],
@@ -9,17 +9,17 @@
   "hidden_dropout_prob": 0.0,
   "hidden_size": 768,
   "id2label": {
-    "0": "IEC",
-    "1": "SCC",
-    "2": "BCC"
+    "0": "BCC",
+    "1": "IEC",
+    "2": "SCC"
   },
   "image_size": 224,
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
-    "BCC": "2",
-    "IEC": "0",
-    "SCC": "1"
+    "BCC": "0",
+    "IEC": "1",
+    "SCC": "2"
   },
   "layer_norm_eps": 1e-12,
   "model_type": "vit",

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e2f5793b6591b6651fda0dc4e2792d0ab5379353d026098befc22d3c9b35545e
+oid sha256:73d04b22a38ab1a4a028cdd83fa88deac5a5d4ef1b7d9908fa797c3c8702a3e0
 size 343472824