Training in progress, epoch 1

config.json

@@ -1,13 +1,24 @@
 {
-  "_name_or_path": "google/vit-base-patch16-224",
+  "_name_or_path": "microsoft/resnet-50",
   "architectures": [
-    "ViTForImageClassification"
+    "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
   ],
-  "attention_probs_dropout_prob": 0.0,
-  "encoder_stride": 16,
-  "hidden_act": "gelu",
-  "hidden_dropout_prob": 0.0,
-  "hidden_size": 768,
   "id2label": {
     "0": "aluminium",
     "1": "batteries",
@@ -21,9 +32,6 @@
     "8": "polystyrene",
     "9": "soft plastics"
   },
-  "image_size": 224,
-  "initializer_range": 0.02,
-  "intermediate_size": 3072,
   "label2id": {
     "aluminium": "0",
     "batteries": "1",
@@ -37,14 +45,23 @@
     "soft plastics": "9",
     "takeaway cups": "10"
   },
-  "layer_norm_eps": 1e-12,
-  "model_type": "vit",
-  "num_attention_heads": 12,
+  "layer_type": "bottleneck",
+  "model_type": "resnet",
   "num_channels": 3,
-  "num_hidden_layers": 12,
-  "patch_size": 16,
+  "out_features": [
+    "stage4"
+  ],
+  "out_indices": [
+    4
+  ],
   "problem_type": "single_label_classification",
-  "qkv_bias": true,
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
   "torch_dtype": "float32",
   "transformers_version": "4.41.2"
 }

model.safetensors

@@ -1,3 +1,3 @@
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-size 343251660
+oid sha256:f142f3e450072c10aecda3683b31da183e218409c0c8c6da6a97c43dd4114fed
+size 94376748

preprocessor_config.json

@@ -3,6 +3,7 @@
     "images",
     "do_resize",
     "size",
+    "crop_pct",
     "resample",
     "do_rescale",
     "rescale_factor",
@@ -13,24 +14,24 @@
     "data_format",
     "input_data_format"
   ],
+  "crop_pct": 0.875,
   "do_normalize": true,
   "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_processor_type": "ConvNextImageProcessor",
   "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
+    "shortest_edge": 224
   }
 }

runs/Jun18_05-18-08_3481d44b1ce1/events.out.tfevents.1718688482.3481d44b1ce1.2579.4

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+size 411

runs/Jun18_05-34-32_3481d44b1ce1/events.out.tfevents.1718688903.3481d44b1ce1.2579.5

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training_args.bin

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 size 5176