Training in progress, epoch 1

config.json

@@ -1,38 +1,67 @@
 {
-  "_name_or_path": "google/vit-base-patch16-224-in21k",
+  "_name_or_path": "gianlab/swin-tiny-patch4-window7-224-finetuned-plantdisease",
   "architectures": [
-    "ViTForImageClassification"
+    "SwinForImageClassification"
   ],
   "attention_probs_dropout_prob": 0.0,
-  "encoder_stride": 16,
+  "depths": [
+    2,
+    2,
+    6,
+    2
+  ],
+  "drop_path_rate": 0.1,
+  "embed_dim": 96,
+  "encoder_stride": 32,
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.0,
   "hidden_size": 768,
   "id2label": {
-    "0": "other",
+    "0": "ND",
     "1": "DR",
     "2": "WD",
-    "3": "ND",
-    "4": "G"
+    "3": "G",
+    "4": "other"
   },
   "image_size": 224,
   "initializer_range": 0.02,
-  "intermediate_size": 3072,
   "label2id": {
     "DR": 1,
-    "G": 4,
-    "ND": 3,
+    "G": 3,
+    "ND": 0,
     "WD": 2,
-    "other": 0
+    "other": 4
   },
-  "layer_norm_eps": 1e-12,
-  "model_type": "vit",
-  "num_attention_heads": 12,
+  "layer_norm_eps": 1e-05,
+  "mlp_ratio": 4.0,
+  "model_type": "swin",
   "num_channels": 3,
-  "num_hidden_layers": 12,
-  "patch_size": 16,
+  "num_heads": [
+    3,
+    6,
+    12,
+    24
+  ],
+  "num_layers": 4,
+  "out_features": [
+    "stage4"
+  ],
+  "out_indices": [
+    4
+  ],
+  "patch_size": 4,
+  "path_norm": true,
   "problem_type": "single_label_classification",
   "qkv_bias": true,
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
   "torch_dtype": "float32",
-  "transformers_version": "4.36.2"
+  "transformers_version": "4.37.1",
+  "use_absolute_embeddings": false,
+  "window_size": 7
 }

model.safetensors

@@ -1,3 +1,3 @@
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-size 343233204
+oid sha256:81b149a72e7cc05e954b10cf2c16367fc96a8d9ada3083742fc84a729687ccb1
+size 110382828

preprocessor_config.json

@@ -3,17 +3,17 @@
   "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,

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:1a2ac96f2f9021869e90de8c212be58b77cc2cc6d46bda7635e1116934ea6b8d
 size 4283