Training in progress, epoch 1

config.json

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+{
+  "_name_or_path": "microsoft/swinv2-base-patch4-window8-256",
+  "architectures": [
+    "Swinv2ForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "depths": [
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+    2,
+    18,
+    2
+  ],
+  "drop_path_rate": 0.1,
+  "embed_dim": 128,
+  "encoder_stride": 32,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 1024,
+  "id2label": {
+    "N": 0,
+    "Y": 1
+  },
+  "image_size": 256,
+  "initializer_range": 0.02,
+  "label2id": {
+    "0": "N",
+    "1": "Y"
+  },
+  "layer_norm_eps": 1e-05,
+  "mlp_ratio": 4.0,
+  "model_type": "swinv2",
+  "num_channels": 1,
+  "num_heads": [
+    4,
+    8,
+    16,
+    32
+  ],
+  "num_layers": 4,
+  "patch_size": 4,
+  "path_norm": true,
+  "pretrained_window_sizes": [
+    0,
+    0,
+    0,
+    0
+  ],
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.35.2",
+  "use_absolute_embeddings": false,
+  "window_size": 8
+}

model.safetensors

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preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_rescale": false,
+  "do_resize": false,
+  "image_mean": 106.219,
+  "image_processor_type": "ViTImageProcessor",
+  "image_std": 42.025,
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 256,
+    "width": 256
+  }
+}

runs/Nov23_14-34-57_b42e52fff48c/events.out.tfevents.1700750104.b42e52fff48c.164.0

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training_args.bin

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