Training in progress, epoch 1

config.json

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+{
+  "_name_or_path": "Zetatech/pvt-tiny-224",
+  "architectures": [
+    "PvtForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "depths": [
+    2,
+    2,
+    2,
+    2
+  ],
+  "drop_path_rate": 0.0,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_sizes": [
+    64,
+    128,
+    320,
+    512
+  ],
+  "id2label": {
+    "0": "Normal",
+    "1": "Abnormal"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "Abnormal": 1,
+    "Normal": 0
+  },
+  "layer_norm_eps": 1e-06,
+  "mlp_ratios": [
+    8,
+    8,
+    4,
+    4
+  ],
+  "model_type": "pvt",
+  "num_attention_heads": [
+    1,
+    2,
+    5,
+    8
+  ],
+  "num_channels": 3,
+  "num_encoder_blocks": 4,
+  "patch_sizes": [
+    4,
+    2,
+    2,
+    2
+  ],
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "reshape_last_stage": true,
+  "sequence_reduction_ratios": [
+    8,
+    4,
+    2,
+    1
+  ],
+  "strides": [
+    4,
+    2,
+    2,
+    2
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.33.2"
+}

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "PvtImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

pytorch_model.bin

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+size 50929233

training_args.bin

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+oid sha256:142101e836e321cc5ee52ce1852b99f970305c294c28f36fe1bb1dd3275be878
+size 4027