Training in progress, step 1000

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "nvidia/mit-b5",
+  "architectures": [
+    "SegformerForSemanticSegmentation"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "classifier_dropout_prob": 0.1,
+  "decoder_hidden_size": 768,
+  "depths": [
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+  "downsampling_rates": [
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+    8,
+    16
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+  "drop_path_rate": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_sizes": [
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+    128,
+    320,
+    512
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+  "id2label": {
+    "0": "background",
+    "1": "crack"
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+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
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+    "crack": 1
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+  "layer_norm_eps": 1e-06,
+  "mlp_ratios": [
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+    4,
+    4,
+    4
+  ],
+  "model_type": "segformer",
+  "num_attention_heads": [
+    1,
+    2,
+    5,
+    8
+  ],
+  "num_channels": 3,
+  "num_encoder_blocks": 4,
+  "patch_sizes": [
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+    3,
+    3,
+    3
+  ],
+  "reshape_last_stage": true,
+  "semantic_loss_ignore_index": 255,
+  "sr_ratios": [
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+    4,
+    2,
+    1
+  ],
+  "strides": [
+    4,
+    2,
+    2,
+    2
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.31.0"
+}

pytorch_model.bin

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runs/Aug07_21-07-22_f3eab7307757/events.out.tfevents.1691442447.f3eab7307757.3589.0

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training_args.bin

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