Training in progress, epoch 1

config.json

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+{
+  "_name_or_path": "facebook/convnextv2-tiny-22k-384",
+  "architectures": [
+    "ConvNextV2ForImageClassification"
+  ],
+  "depths": [
+    3,
+    3,
+    9,
+    3
+  ],
+  "drop_path_rate": 0.0,
+  "hidden_act": "gelu",
+  "hidden_sizes": [
+    96,
+    192,
+    384,
+    768
+  ],
+  "id2label": {
+    "0": "Atelectasis",
+    "1": "Cardiomegaly",
+    "2": "Consolidation",
+    "3": "Edema",
+    "4": "Pleural Effusion"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "Atelectasis": 0,
+    "Cardiomegaly": 1,
+    "Consolidation": 2,
+    "Edema": 3,
+    "Pleural Effusion": 4
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "convnextv2",
+  "num_channels": 3,
+  "num_stages": 4,
+  "out_features": [
+    "stage4"
+  ],
+  "out_indices": [
+    4
+  ],
+  "patch_size": 4,
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.0"
+}

model.safetensors

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runs/May21_07-51-17_b0835b462e36/events.out.tfevents.1716277879.b0835b462e36.24.0

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training_args.bin

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