Training in progress, epoch 1

config.json

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

preprocessor_config.json

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

pytorch_model.bin

@@ -1,3 +1,3 @@
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-size 22180465
+oid sha256:53592118aadd34af3a34ca15c968ff8f1fb8207d627b110c71e5b57e03af80de
+size 111365781

training_args.bin

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