Training in progress, epoch 1

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "davanstrien/convnext-tiny-224_flyswot",
+  "architectures": [
+    "ConvNextForImageClassification"
+  ],
+  "depths": [
+    3,
+    3,
+    9,
+    3
+  ],
+  "drop_path_rate": 0.0,
+  "hidden_act": "gelu",
+  "hidden_sizes": [
+    96,
+    192,
+    384,
+    768
+  ],
+  "id2label": {
+    "0": "CONTAINER",
+    "1": "CONTROL SHOT",
+    "2": "COVER",
+    "3": "EDGE + SPINE",
+    "4": "FLYSHEET",
+    "5": "OTHER",
+    "6": "PAGE + FOLIO",
+    "7": "SCROLL"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "CONTAINER": 0,
+    "CONTROL SHOT": 1,
+    "COVER": 2,
+    "EDGE + SPINE": 3,
+    "FLYSHEET": 4,
+    "OTHER": 5,
+    "PAGE + FOLIO": 6,
+    "SCROLL": 7
+  },
+  "layer_norm_eps": 1e-12,
+  "layer_scale_init_value": 1e-06,
+  "model_type": "convnext",
+  "num_channels": 3,
+  "num_stages": 4,
+  "patch_size": 4,
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.18.0"
+}

preprocessor_config.json

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+{
+  "crop_pct": 0.875,
+  "do_normalize": true,
+  "do_resize": true,
+  "feature_extractor_type": "ConvNextFeatureExtractor",
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "size": 224
+}

pytorch_model.bin

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+oid sha256:903980970e65491ecf6210779b0cf8176839b300cb7ef466e9a30a8036634329
+size 111365781

training_args.bin

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