Training in progress, epoch 1

config.json

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+{
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+    "ViTForImageClassification"
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+  "dtype": "float32",
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
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+  "hidden_size": 768,
+  "id2label": {
+    "0": "dry",
+    "1": "humid"
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+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "dry": 0,
+    "humid": 1
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+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "pooler_act": "tanh",
+  "pooler_output_size": 768,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "transformers_version": "4.56.1"
+}

model.safetensors

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preprocessor_config.json

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+{
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+  "data_format": "channels_first",
+  "default_to_square": true,
+  "device": null,
+  "disable_grouping": null,
+  "do_center_crop": null,
+  "do_convert_rgb": null,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
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+    0.5,
+    0.5
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+  "image_processor_type": "ViTImageProcessorFast",
+  "image_std": [
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+  "resample": 2,
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+  "return_tensors": null,
+  "size": {
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+    "width": 224
+  }
+}

runs/Oct16_10-02-37_tech/events.out.tfevents.1760626959.tech.46501.0

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training_args.bin

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