End of training

.gitignore

@@ -0,0 +1 @@
+checkpoint-*/

config.json

@@ -0,0 +1,76 @@
+{
+  "_name_or_path": "microsoft/swin-tiny-patch4-window7-224",
+  "architectures": [
+    "SwinForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "depths": [
+    2,
+    2,
+    6,
+    2
+  ],
+  "drop_path_rate": 0.1,
+  "embed_dim": 96,
+  "encoder_stride": 32,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "grade_0",
+    "1": "grade_1",
+    "2": "grade_2",
+    "3": "grade_3",
+    "4": "grade_4",
+    "5": "grade_5",
+    "6": "grade_6",
+    "7": "grade_7",
+    "8": "grade_8",
+    "9": "grade_9"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "grade_0": 0,
+    "grade_1": 1,
+    "grade_2": 2,
+    "grade_3": 3,
+    "grade_4": 4,
+    "grade_5": 5,
+    "grade_6": 6,
+    "grade_7": 7,
+    "grade_8": 8,
+    "grade_9": 9
+  },
+  "layer_norm_eps": 1e-05,
+  "mlp_ratio": 4.0,
+  "model_type": "swin",
+  "num_channels": 3,
+  "num_heads": [
+    3,
+    6,
+    12,
+    24
+  ],
+  "num_layers": 4,
+  "out_features": [
+    "stage4"
+  ],
+  "out_indices": [
+    4
+  ],
+  "patch_size": 4,
+  "path_norm": true,
+  "qkv_bias": true,
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.31.0",
+  "use_absolute_embeddings": false,
+  "window_size": 7
+}

preprocessor_config.json

@@ -0,0 +1,22 @@
+{
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "ViTImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

pytorch_model.bin

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runs/Mar01_19-34-56_e2e-87-119/events.out.tfevents.1709301936.e2e-87-119.24047.0

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training_args.bin

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