Training in progress, epoch 1

config.json

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+{
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+    "Swinv2ForImageClassification"
+  ],
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+  "depths": [
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+  "embed_dim": 128,
+  "encoder_stride": 32,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4",
+    "5": "LABEL_5",
+    "6": "LABEL_6"
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+  "initializer_range": 0.02,
+  "label2id": {
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+    "LABEL_4": 4,
+    "LABEL_5": 5,
+    "LABEL_6": 6
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+  "layer_norm_eps": 1e-05,
+  "mlp_ratio": 4.0,
+  "model_type": "swinv2",
+  "num_channels": 3,
+  "num_heads": [
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+    16,
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+  "num_layers": 4,
+  "out_features": [
+    "stage4"
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+  "out_indices": [
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+  "patch_size": 4,
+  "path_norm": true,
+  "pretrained_window_sizes": [
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+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "stage_names": [
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+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
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+  "torch_dtype": "float32",
+  "transformers_version": "4.51.3",
+  "use_absolute_embeddings": false,
+  "window_size": 8
+}

model.safetensors

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preprocessor_config.json

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+  "data_format": "channels_first",
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+  "device": null,
+  "do_center_crop": null,
+  "do_convert_rgb": null,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
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+  "image_processor_type": "ViTImageProcessorFast",
+  "image_std": [
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+  "return_tensors": null,
+  "size": {
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+    "width": 256
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+}

runs/May16_13-52-16_398ce32b1fad/events.out.tfevents.1747403555.398ce32b1fad.261.0

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training_args.bin

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