Training in progress, epoch 0

config.json

@@ -1,32 +1,67 @@
 {
-  "_name_or_path": "code/vit-base-patch16-224",
+  "_name_or_path": "microsoft/swinv2-base-patch4-window8-256",
   "architectures": [
-    "ViTForImageClassification"
+    "Swinv2ForImageClassification"
   ],
   "attention_probs_dropout_prob": 0.0,
-  "encoder_stride": 16,
+  "depths": [
+    2,
+    2,
+    18,
+    2
+  ],
+  "drop_path_rate": 0.1,
+  "embed_dim": 128,
+  "encoder_stride": 32,
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.0,
-  "hidden_size": 768,
+  "hidden_size": 1024,
   "id2label": {
     "0": "N",
     "1": "Y"
   },
-  "image_size": 224,
+  "image_size": 256,
   "initializer_range": 0.02,
-  "intermediate_size": 3072,
   "label2id": {
     "N": 0,
     "Y": 1
   },
-  "layer_norm_eps": 1e-12,
-  "model_type": "vit",
-  "num_attention_heads": 12,
+  "layer_norm_eps": 1e-05,
+  "mlp_ratio": 4.0,
+  "model_type": "swinv2",
   "num_channels": 3,
-  "num_hidden_layers": 12,
-  "patch_size": 16,
+  "num_heads": [
+    4,
+    8,
+    16,
+    32
+  ],
+  "num_layers": 4,
+  "out_features": [
+    "stage4"
+  ],
+  "out_indices": [
+    4
+  ],
+  "patch_size": 4,
+  "path_norm": true,
+  "pretrained_window_sizes": [
+    0,
+    0,
+    0,
+    0
+  ],
   "problem_type": "single_label_classification",
   "qkv_bias": true,
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
   "torch_dtype": "float32",
-  "transformers_version": "4.42.3"
+  "transformers_version": "4.42.3",
+  "use_absolute_embeddings": false,
+  "window_size": 8
 }

model.safetensors

@@ -1,3 +1,3 @@
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-size 343223968
+oid sha256:95a7ca24d6f78491cde7b5cfeabd9957f4d244f3cd88332396fa866ece85613e
+size 347645480

preprocessor_config.json

@@ -3,20 +3,20 @@
   "do_rescale": true,
   "do_resize": true,
   "image_mean": [
-    0.5,
-    0.5,
-    0.5
+    0.485,
+    0.456,
+    0.406
   ],
   "image_processor_type": "ViTImageProcessor",
   "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/Aug10_00-26-27_EMIMDGXA100GPU1/events.out.tfevents.1723263989.EMIMDGXA100GPU1.4104023.0

@@ -0,0 +1,3 @@
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+size 5590

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:7839f9a870927fc61aab987d04f12bac570cbbfd77409e11edc2dc9ca824f1da
 size 5112