Training in progress, epoch 1

config.json

@@ -1,24 +1,13 @@
 {
-  "_name_or_path": "microsoft/resnet-50",
+  "_name_or_path": "google/vit-base-patch16-224-in21k",
   "architectures": [
-    "ResNetForImageClassification"
-  ],
-  "depths": [
-    3,
-    4,
-    6,
-    3
-  ],
-  "downsample_in_bottleneck": false,
-  "downsample_in_first_stage": false,
-  "embedding_size": 64,
-  "hidden_act": "relu",
-  "hidden_sizes": [
-    256,
-    512,
-    1024,
-    2048
+    "ViTForImageClassification"
   ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
   "id2label": {
     "0": "ain",
     "1": "aleff",
@@ -49,6 +38,9 @@
     "8": "ghain",
     "9": "ha"
   },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
   "label2id": {
     "ain": "0",
     "aleff": "1",
@@ -79,23 +71,14 @@
     "ya": "26",
     "zay": "27"
   },
-  "layer_type": "bottleneck",
-  "model_type": "resnet",
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
   "num_channels": 3,
-  "out_features": [
-    "stage4"
-  ],
-  "out_indices": [
-    4
-  ],
+  "num_hidden_layers": 12,
+  "patch_size": 16,
   "problem_type": "single_label_classification",
-  "stage_names": [
-    "stem",
-    "stage1",
-    "stage2",
-    "stage3",
-    "stage4"
-  ],
+  "qkv_bias": true,
   "torch_dtype": "float32",
   "transformers_version": "4.41.2"
 }

model.safetensors

@@ -1,3 +1,3 @@
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-size 94516096
+oid sha256:5b95d497e6c2ab969fd849385cdea1542ca051a34b80d1291a012a72d8b609b3
+size 343303952

preprocessor_config.json

@@ -3,7 +3,6 @@
     "images",
     "do_resize",
     "size",
-    "crop_pct",
     "resample",
     "do_rescale",
     "rescale_factor",
@@ -14,24 +13,24 @@
     "data_format",
     "input_data_format"
   ],
-  "crop_pct": 0.875,
   "do_normalize": true,
   "do_rescale": true,
   "do_resize": true,
   "image_mean": [
-    0.485,
-    0.456,
-    0.406
+    0.5,
+    0.5,
+    0.5
   ],
-  "image_processor_type": "ConvNextImageProcessor",
+  "image_processor_type": "ViTImageProcessor",
   "image_std": [
-    0.229,
-    0.224,
-    0.225
+    0.5,
+    0.5,
+    0.5
   ],
-  "resample": 3,
+  "resample": 2,
   "rescale_factor": 0.00392156862745098,
   "size": {
-    "shortest_edge": 224
+    "height": 224,
+    "width": 224
   }
 }

runs/Jun27_21-43-39_c8024b46ff04/events.out.tfevents.1719524623.c8024b46ff04.1869.3

@@ -0,0 +1,3 @@
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+size 6628

training_args.bin

@@ -1,3 +1,3 @@
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 size 5112