Training in progress, step 100

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "Visual-Attention-Network/van-base",
+  "architectures": [
+    "VanForImageClassification"
+  ],
+  "depths": [
+    3,
+    3,
+    12,
+    3
+  ],
+  "drop_path_rate": 0.0,
+  "dropout_rate": 0.0,
+  "hidden_act": "gelu",
+  "hidden_sizes": [
+    64,
+    128,
+    320,
+    512
+  ],
+  "id2label": {
+    "0": "event",
+    "1": "no_event"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "event": 0,
+    "no_event": 1
+  },
+  "layer_norm_eps": 1e-06,
+  "layer_scale_init_value": 0.01,
+  "mlp_ratios": [
+    8,
+    8,
+    4,
+    4
+  ],
+  "model_type": "van",
+  "num_channels": 3,
+  "patch_sizes": [
+    7,
+    3,
+    3,
+    3
+  ],
+  "problem_type": "single_label_classification",
+  "strides": [
+    4,
+    2,
+    2,
+    2
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.23.1"
+}

preprocessor_config.json

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+{
+  "crop_pct": 0.875,
+  "do_normalize": true,
+  "do_resize": true,
+  "feature_extractor_type": "ConvNextFeatureExtractor",
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "size": 224
+}

pytorch_model.bin

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