End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: microsoft/swinv2-large-patch4-window12-192-22k
+base_model: microsoft/swin-large-patch4-window7-224
 tags:
 - generated_from_trainer
 datasets:
@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8305676855895197
+      value: 0.8227074235807861
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Psoriasis-500-100aug-224-swinv2-large
 
-This model is a fine-tuned version of [microsoft/swinv2-large-patch4-window12-192-22k](https://huggingface.co/microsoft/swinv2-large-patch4-window12-192-22k) on the imagefolder dataset.
+This model is a fine-tuned version of [microsoft/swin-large-patch4-window7-224](https://huggingface.co/microsoft/swin-large-patch4-window7-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9383
-- Accuracy: 0.8306
+- Loss: 0.7383
+- Accuracy: 0.8227
 
 ## Model description
 
@@ -67,16 +67,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 0.8251        | 0.9840 | 46   | 0.8572          | 0.7118   |
-| 0.3662        | 1.9893 | 93   | 0.8063          | 0.7389   |
-| 0.1443        | 2.9947 | 140  | 0.8198          | 0.7755   |
-| 0.0974        | 4.0    | 187  | 0.8232          | 0.8105   |
-| 0.0464        | 4.9840 | 233  | 0.9549          | 0.7904   |
-| 0.0234        | 5.9893 | 280  | 0.9775          | 0.7956   |
-| 0.0125        | 6.9947 | 327  | 0.9146          | 0.8192   |
-| 0.0066        | 8.0    | 374  | 0.9364          | 0.8279   |
-| 0.0025        | 8.9840 | 420  | 0.9412          | 0.8288   |
-| 0.0006        | 9.8396 | 460  | 0.9383          | 0.8306   |
+| 1.4126        | 0.9840 | 46   | 0.9408          | 0.6882   |
+| 0.3672        | 1.9893 | 93   | 0.6431          | 0.7703   |
+| 0.133         | 2.9947 | 140  | 0.5938          | 0.7921   |
+| 0.0624        | 4.0    | 187  | 0.6128          | 0.8035   |
+| 0.0473        | 4.9840 | 233  | 0.6654          | 0.8114   |
+| 0.0276        | 5.9893 | 280  | 0.7090          | 0.8166   |
+| 0.0111        | 6.9947 | 327  | 0.7133          | 0.8140   |
+| 0.0081        | 8.0    | 374  | 0.7639          | 0.8183   |
+| 0.0039        | 8.9840 | 420  | 0.7387          | 0.8236   |
+| 0.0065        | 9.8396 | 460  | 0.7383          | 0.8227   |
 
 
 ### Framework versions

config.json

@@ -1,7 +1,7 @@
 {
-  "_name_or_path": "microsoft/swinv2-large-patch4-window12-192-22k",
+  "_name_or_path": "microsoft/swin-large-patch4-window7-224",
   "architectures": [
-    "Swinv2ForImageClassification"
+    "SwinForImageClassification"
   ],
   "attention_probs_dropout_prob": 0.0,
   "depths": [
@@ -30,7 +30,7 @@
     "10": "Pustular",
     "11": "Scalp"
   },
-  "image_size": 192,
+  "image_size": 224,
   "initializer_range": 0.02,
   "label2id": {
     "Abnormal": 0,
@@ -48,7 +48,7 @@
   },
   "layer_norm_eps": 1e-05,
   "mlp_ratio": 4.0,
-  "model_type": "swinv2",
+  "model_type": "swin",
   "num_channels": 3,
   "num_heads": [
     6,
@@ -65,12 +65,6 @@
   ],
   "patch_size": 4,
   "path_norm": true,
-  "pretrained_window_sizes": [
-    0,
-    0,
-    0,
-    0
-  ],
   "problem_type": "single_label_classification",
   "qkv_bias": true,
   "stage_names": [
@@ -83,5 +77,5 @@
   "torch_dtype": "float32",
   "transformers_version": "4.41.2",
   "use_absolute_embeddings": false,
-  "window_size": 12
+  "window_size": 7
 }

model.safetensors

@@ -1,3 +1,3 @@
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-size 780947768
+oid sha256:3cb2f5777f5663ead672dc7cb4b113cd4798c18e785cfe8de2c3da5af4832a6b
+size 780573600

preprocessor_config.json

@@ -30,7 +30,7 @@
   "resample": 3,
   "rescale_factor": 0.00392156862745098,
   "size": {
-    "height": 192,
-    "width": 192
+    "height": 224,
+    "width": 224
   }
 }

runs/Jun28_13-21-43_40ede51d48df/events.out.tfevents.1719580904.40ede51d48df.34.1

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+size 18924

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:ccd422d773ec41f255c19a3f61cb112de67efd624c356c602efc717076f8daa0
 size 5176