Model save

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: google/vit-base-patch16-224-in21k
+base_model: facebook/deit-base-distilled-patch16-224
 tags:
 - generated_from_trainer
 datasets:
@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9774436090225563
+      value: 0.9661654135338346
 ---
 
 <!-- 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. -->
 
 # finetuned-Leukemia-cell
 
-This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
+This model is a fine-tuned version of [facebook/deit-base-distilled-patch16-224](https://huggingface.co/facebook/deit-base-distilled-patch16-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1073
-- Accuracy: 0.9774
+- Loss: 0.0956
+- Accuracy: 0.9662
 
 ## Model description
 
@@ -65,12 +65,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.0673        | 2.94  | 100  | 0.1144          | 0.9699   |
-| 0.0639        | 5.88  | 200  | 0.1431          | 0.9549   |
-| 0.0491        | 8.82  | 300  | 0.2439          | 0.9436   |
-| 0.0532        | 11.76 | 400  | 0.1389          | 0.9624   |
-| 0.0636        | 14.71 | 500  | 0.1537          | 0.9624   |
-| 0.0493        | 17.65 | 600  | 0.1073          | 0.9774   |
+| 0.3464        | 2.94  | 100  | 0.2377          | 0.9286   |
+| 0.153         | 5.88  | 200  | 0.2519          | 0.9060   |
+| 0.1663        | 8.82  | 300  | 0.1753          | 0.9398   |
+| 0.0962        | 11.76 | 400  | 0.2009          | 0.9398   |
+| 0.0612        | 14.71 | 500  | 0.1348          | 0.9586   |
+| 0.0341        | 17.65 | 600  | 0.0956          | 0.9662   |
 
 
 ### Framework versions

config.json

@@ -1,7 +1,7 @@
 {
-  "_name_or_path": "google/vit-base-patch16-224-in21k",
+  "_name_or_path": "facebook/deit-base-distilled-patch16-224",
   "architectures": [
-    "ViTForImageClassification"
+    "DeiTForImageClassification"
   ],
   "attention_probs_dropout_prob": 0.0,
   "encoder_stride": 16,
@@ -30,7 +30,7 @@
     "trico": "6"
   },
   "layer_norm_eps": 1e-12,
-  "model_type": "vit",
+  "model_type": "deit",
   "num_attention_heads": 12,
   "num_channels": 3,
   "num_hidden_layers": 12,

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:411fb8baf76f74b477a876b3be53846a6c2c51f9277cb00a81542425c237112f
-size 343239356
+oid sha256:6776e9b0b9e3c3eb96201cecbd325ce233c78bbcd9bb45487d90adf02d5aa37c
+size 343245796

preprocessor_config.json

@@ -1,22 +1,28 @@
 {
+  "crop_size": {
+    "height": 224,
+    "width": 224
+  },
+  "do_center_crop": true,
   "do_normalize": true,
   "do_rescale": true,
   "do_resize": true,
+  "feature_extractor_type": "DeiTFeatureExtractor",
   "image_mean": [
-    0.5,
-    0.5,
-    0.5
+    0.485,
+    0.456,
+    0.406
   ],
-  "image_processor_type": "ViTFeatureExtractor",
+  "image_processor_type": "DeiTFeatureExtractor",
   "image_std": [
-    0.5,
-    0.5,
-    0.5
+    0.229,
+    0.224,
+    0.225
   ],
-  "resample": 2,
+  "resample": 3,
   "rescale_factor": 0.00392156862745098,
   "size": {
-    "height": 224,
-    "width": 224
+    "height": 256,
+    "width": 256
   }
 }

runs/Dec01_12-42-32_610b2a9400b8/events.out.tfevents.1701434600.610b2a9400b8.3653.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:425883d09328f67c7ca2932d6f0ef0682cc3a4cb4b49db448c7eebde1f58f1f9
+size 4470

runs/Dec01_12-47-24_610b2a9400b8/events.out.tfevents.1701434856.610b2a9400b8.3653.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:84aeb018fa61188f54aa42a754bdf62e3e7b1dd8cb619e25408eca14e462a201
+size 4470

runs/Dec01_12-51-12_610b2a9400b8/events.out.tfevents.1701435078.610b2a9400b8.3653.2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:de28241f969d8e9e2ab222b47f6e01c98e1f3c9d7c8e05741cc16a6e1907ba38
+size 6010

runs/Dec01_13-00-42_610b2a9400b8/events.out.tfevents.1701435648.610b2a9400b8.3653.3

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:11338c2f5dcc39ab731748527d58078e5596ffe6a94cc7e02ffc97dd57fa241d
+size 17396

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f0c51a9692dffa79666ee4c2a799f0ef6e3fddf95c8240e6d000dc48049d3457
+oid sha256:dacbff944cbe4f5a09b4fac9f1c809f6343455d2e3919516f15e7fd6ecdc5c74
 size 4600