Training in progress, epoch 1

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "facebook/dino-vitb16",
+  "_name_or_path": "google/vit-large-patch16-224-in21k",
   "architectures": [
     "ViTForImageClassification"
   ],
@@ -7,7 +7,7 @@
   "encoder_stride": 16,
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.0,
-  "hidden_size": 768,
+  "hidden_size": 1024,
   "id2label": {
     "0": "Erythromelal",
     "1": "Guttate",
@@ -19,7 +19,7 @@
   },
   "image_size": 224,
   "initializer_range": 0.02,
-  "intermediate_size": 3072,
+  "intermediate_size": 4096,
   "label2id": {
     "Erythromelal": 0,
     "Guttate": 1,
@@ -31,9 +31,9 @@
   },
   "layer_norm_eps": 1e-12,
   "model_type": "vit",
-  "num_attention_heads": 12,
+  "num_attention_heads": 16,
   "num_channels": 3,
-  "num_hidden_layers": 12,
+  "num_hidden_layers": 24,
   "patch_size": 16,
   "problem_type": "single_label_classification",
   "qkv_bias": true,

model.safetensors

@@ -1,3 +1,3 @@
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-size 343239356
+oid sha256:577e3b05efb8fdde25210fc4c2985e6be1c241b037d582a44b41189f2a0961b0
+size 1213281772

preprocessor_config.json

@@ -9,17 +9,17 @@
   "do_rescale": true,
   "do_resize": true,
   "image_mean": [
-    0.485,
-    0.456,
-    0.406
+    0.5,
+    0.5,
+    0.5
   ],
   "image_processor_type": "CLIPImageProcessor",
   "image_std": [
-    0.229,
-    0.224,
-    0.225
+    0.5,
+    0.5,
+    0.5
   ],
-  "resample": 2,
+  "resample": 3,
   "rescale_factor": 0.00392156862745098,
   "size": {
     "shortest_edge": 224

runs/Mar29_09-44-11_4d5e3447fe72/events.out.tfevents.1711705455.4d5e3447fe72.23526.5

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+size 5084

training_args.bin

@@ -1,3 +1,3 @@
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 size 4920