Saving best model to hub

all_results.json

@@ -1,7 +1,7 @@
 {
     "epoch": 99.96,
-    "train_loss": 4.706060151404296e+25,
-    "train_runtime": 15225.9839,
-    "train_samples_per_second": 5.254,
-    "train_steps_per_second": 0.039
+    "train_loss": 0.40186759948730466,
+    "train_runtime": 5795.0961,
+    "train_samples_per_second": 13.805,
+    "train_steps_per_second": 0.052
 }

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "microsoft/swinv2-base-patch4-window12-192-22k",
+  "_name_or_path": "microsoft/swinv2-base-patch4-window8-256",
   "architectures": [
     "Swinv2ForImageClassification"
   ],
@@ -28,7 +28,7 @@
     "8": "Resume",
     "9": "Scientific"
   },
-  "image_size": 192,
+  "image_size": 256,
   "initializer_range": 0.02,
   "label2id": {
     "ADVE": 0,
@@ -66,5 +66,5 @@
   "torch_dtype": "float32",
   "transformers_version": "4.26.1",
   "use_absolute_embeddings": false,
-  "window_size": 12
+  "window_size": 8
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
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 size 347784881

train_results.json

@@ -1,7 +1,7 @@
 {
     "epoch": 99.96,
-    "train_loss": 4.706060151404296e+25,
-    "train_runtime": 15225.9839,
-    "train_samples_per_second": 5.254,
-    "train_steps_per_second": 0.039
+    "train_loss": 0.40186759948730466,
+    "train_runtime": 5795.0961,
+    "train_samples_per_second": 13.805,
+    "train_steps_per_second": 0.052
 }

training_args.bin

@@ -1,3 +1,3 @@
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 size 3579