Training in progress, epoch 0

config.json

@@ -1,22 +1,13 @@
 {
-  "_name_or_path": "facebook/convnext-tiny-224",
+  "_name_or_path": "facebook/deit-tiny-patch16-224",
   "architectures": [
-    "ConvNextForImageClassification"
+    "ViTForImageClassification"
   ],
-  "depths": [
-    3,
-    3,
-    9,
-    3
-  ],
-  "drop_path_rate": 0.0,
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
   "hidden_act": "gelu",
-  "hidden_sizes": [
-    96,
-    192,
-    384,
-    768
-  ],
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 192,
   "id2label": {
     "0": "CONTAINER",
     "1": "CONTROL SHOT",
@@ -29,6 +20,7 @@
   },
   "image_size": 224,
   "initializer_range": 0.02,
+  "intermediate_size": 768,
   "label2id": {
     "CONTAINER": 0,
     "CONTROL SHOT": 1,
@@ -40,12 +32,13 @@
     "SCROLL": 7
   },
   "layer_norm_eps": 1e-12,
-  "layer_scale_init_value": 1e-06,
-  "model_type": "convnext",
+  "model_type": "vit",
+  "num_attention_heads": 3,
   "num_channels": 3,
-  "num_stages": 4,
-  "patch_size": 4,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
   "problem_type": "single_label_classification",
+  "qkv_bias": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.18.0"
+  "transformers_version": "4.17.0"
 }

preprocessor_config.json

@@ -1,18 +1,17 @@
 {
-  "crop_pct": 0.875,
   "do_normalize": true,
   "do_resize": true,
-  "feature_extractor_type": "ConvNextFeatureExtractor",
+  "feature_extractor_type": "ViTFeatureExtractor",
   "image_mean": [
-    0.485,
-    0.456,
-    0.406
+    0.5,
+    0.5,
+    0.5
   ],
   "image_std": [
-    0.229,
-    0.224,
-    0.225
+    0.5,
+    0.5,
+    0.5
   ],
-  "resample": 3,
+  "resample": 2,
   "size": 224
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
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+size 22180465

training_args.bin

@@ -1,3 +1,3 @@
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 size 2991