Training in progress, epoch 0

config.json

@@ -1,21 +1,23 @@
 {
-  "_name_or_path": "microsoft/swinv2-tiny-patch4-window8-256",
+  "_name_or_path": "microsoft/resnet-50",
   "architectures": [
-    "Swinv2ForImageClassification"
+    "ResNetForImageClassification"
   ],
-  "attention_probs_dropout_prob": 0.0,
   "depths": [
-    2,
-    2,
+    3,
+    4,
     6,
-    2
+    3
+  ],
+  "downsample_in_first_stage": false,
+  "embedding_size": 64,
+  "hidden_act": "relu",
+  "hidden_sizes": [
+    256,
+    512,
+    1024,
+    2048
   ],
-  "drop_path_rate": 0.1,
-  "embed_dim": 96,
-  "encoder_stride": 32,
-  "hidden_act": "gelu",
-  "hidden_dropout_prob": 0.0,
-  "hidden_size": 768,
   "id2label": {
     "0": "\u54ed",
     "1": "\u5750",
@@ -36,8 +38,6 @@
     "8": "\u6708\u4eae",
     "9": "\u72d7"
   },
-  "image_size": 256,
-  "initializer_range": 0.02,
   "label2id": {
     "\u54ed": "0",
     "\u5750": "1",
@@ -58,29 +58,23 @@
     "\u81ea\u884c\u8f66": "16",
     "\u829d\u9ebb": "17"
   },
-  "layer_norm_eps": 1e-05,
-  "mlp_ratio": 4.0,
-  "model_type": "swinv2",
+  "layer_type": "bottleneck",
+  "model_type": "resnet",
   "num_channels": 3,
-  "num_heads": [
-    3,
-    6,
-    12,
-    24
+  "out_features": [
+    "stage4"
   ],
-  "num_layers": 4,
-  "patch_size": 4,
-  "path_norm": true,
-  "pretrained_window_sizes": [
-    0,
-    0,
-    0,
-    0
+  "out_indices": [
+    4
   ],
   "problem_type": "single_label_classification",
-  "qkv_bias": true,
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
   "torch_dtype": "float32",
-  "transformers_version": "4.28.1",
-  "use_absolute_embeddings": false,
-  "window_size": 8
+  "transformers_version": "4.28.1"
 }

preprocessor_config.json

@@ -1,4 +1,5 @@
 {
+  "crop_pct": 0.875,
   "do_normalize": true,
   "do_rescale": true,
   "do_resize": true,
@@ -7,7 +8,7 @@
     0.456,
     0.406
   ],
-  "image_processor_type": "ViTImageProcessor",
+  "image_processor_type": "ConvNextImageProcessor",
   "image_std": [
     0.229,
     0.224,
@@ -16,7 +17,6 @@
   "resample": 3,
   "rescale_factor": 0.00392156862745098,
   "size": {
-    "height": 256,
-    "width": 256
+    "shortest_edge": 224
   }
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
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+size 94506125

training_args.bin

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