Training in progress, epoch 1

config.json

@@ -1,6 +1,6 @@
 {
-  "_name_or_path": "timm/mobilenetv3_small_075.lamb_in1k",
-  "architecture": "mobilenetv3_small_075",
+  "_name_or_path": "timm/mobilenetv3_large_100.miil_in21k",
+  "architecture": "mobilenetv3_large_100",
   "architectures": [
     "TimmWrapperForImageClassification"
   ],
@@ -14,10 +14,10 @@
     "FALSE": "0",
     "TRUE": "1"
   },
-  "model_name": "timm/mobilenetv3_small_075.lamb_in1k",
+  "model_name": "timm/mobilenetv3_large_100.miil_in21k",
   "model_type": "timm_wrapper",
-  "num_classes": 1000,
-  "num_features": 1024,
+  "num_classes": 11221,
+  "num_features": 1280,
   "pretrained_cfg": {
     "classifier": "classifier",
     "crop_mode": "center",
@@ -30,23 +30,25 @@
       224,
       224
     ],
-    "interpolation": "bicubic",
+    "interpolation": "bilinear",
     "mean": [
-      0.485,
-      0.456,
-      0.406
+      0.0,
+      0.0,
+      0.0
     ],
-    "num_classes": 1000,
+    "num_classes": 11221,
+    "origin_url": "https://github.com/Alibaba-MIIL/ImageNet21K",
+    "paper_ids": "arXiv:2104.10972v4",
     "pool_size": [
       7,
       7
     ],
     "std": [
-      0.229,
-      0.224,
-      0.225
+      1.0,
+      1.0,
+      1.0
     ],
-    "tag": "lamb_in1k"
+    "tag": "miil_in21k"
   },
   "problem_type": "single_label_classification",
   "torch_dtype": "float32",

model.safetensors

@@ -1,3 +1,3 @@
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-size 4139096
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+size 16947712

preprocessor_config.json

@@ -1,5 +1,5 @@
 {
-  "architecture": "mobilenetv3_small_075",
+  "architecture": "mobilenetv3_large_100",
   "data_config": {
     "crop_mode": "center",
     "crop_pct": 0.875,
@@ -8,21 +8,21 @@
       224,
       224
     ],
-    "interpolation": "bicubic",
+    "interpolation": "bilinear",
     "mean": [
-      0.485,
-      0.456,
-      0.406
+      0.0,
+      0.0,
+      0.0
     ],
     "std": [
-      0.229,
-      0.224,
-      0.225
+      1.0,
+      1.0,
+      1.0
     ]
   },
   "image_processor_type": "TimmWrapperImageProcessor",
-  "num_classes": 1000,
-  "num_features": 1024,
+  "num_classes": 11221,
+  "num_features": 1280,
   "pretrained_cfg": {
     "classifier": "classifier",
     "crop_mode": "center",
@@ -35,22 +35,24 @@
       224,
       224
     ],
-    "interpolation": "bicubic",
+    "interpolation": "bilinear",
     "mean": [
-      0.485,
-      0.456,
-      0.406
+      0.0,
+      0.0,
+      0.0
     ],
-    "num_classes": 1000,
+    "num_classes": 11221,
+    "origin_url": "https://github.com/Alibaba-MIIL/ImageNet21K",
+    "paper_ids": "arXiv:2104.10972v4",
     "pool_size": [
       7,
       7
     ],
     "std": [
-      0.229,
-      0.224,
-      0.225
+      1.0,
+      1.0,
+      1.0
     ],
-    "tag": "lamb_in1k"
+    "tag": "miil_in21k"
   }
 }

runs/Oct11_09-57-14_ed9849b3ed7e/events.out.tfevents.1728640642.ed9849b3ed7e.18938.0

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training_args.bin

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