End of training

.gitignore

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

config.json

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+{
+  "_name_or_path": "nvidia/mit-b3",
+  "architectures": [
+    "SegformerForSemanticSegmentation"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "classifier_dropout_prob": 0.1,
+  "decoder_hidden_size": 768,
+  "depths": [
+    3,
+    4,
+    18,
+    3
+  ],
+  "downsampling_rates": [
+    1,
+    4,
+    8,
+    16
+  ],
+  "drop_path_rate": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_sizes": [
+    64,
+    128,
+    320,
+    512
+  ],
+  "id2label": {
+    "0": "unlabelled",
+    "1": "shirt, blouse",
+    "2": "top, t-shirt, sweatshirt",
+    "3": "sweater",
+    "4": "cardigan",
+    "5": "jacket",
+    "6": "vest",
+    "7": "pants",
+    "8": "shorts",
+    "9": "skirt",
+    "10": "coat",
+    "11": "dress",
+    "12": "jumpsuit",
+    "13": "cape",
+    "14": "glasses",
+    "15": "hat",
+    "16": "headband, head covering, hair accessory",
+    "17": "tie",
+    "18": "glove",
+    "19": "watch",
+    "20": "belt",
+    "21": "leg warmer",
+    "22": "tights, stockings",
+    "23": "sock",
+    "24": "shoe",
+    "25": "bag, wallet",
+    "26": "scarf",
+    "27": "umbrella",
+    "28": "hood",
+    "29": "collar",
+    "30": "lapel",
+    "31": "epaulette",
+    "32": "sleeve",
+    "33": "pocket",
+    "34": "neckline",
+    "35": "buckle",
+    "36": "zipper",
+    "37": "applique",
+    "38": "bead",
+    "39": "bow",
+    "40": "flower",
+    "41": "fringe",
+    "42": "ribbon",
+    "43": "rivet",
+    "44": "ruffle",
+    "45": "sequin",
+    "46": "tassel"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "applique": 37,
+    "bag, wallet": 25,
+    "bead": 38,
+    "belt": 20,
+    "bow": 39,
+    "buckle": 35,
+    "cape": 13,
+    "cardigan": 4,
+    "coat": 10,
+    "collar": 29,
+    "dress": 11,
+    "epaulette": 31,
+    "flower": 40,
+    "fringe": 41,
+    "glasses": 14,
+    "glove": 18,
+    "hat": 15,
+    "headband, head covering, hair accessory": 16,
+    "hood": 28,
+    "jacket": 5,
+    "jumpsuit": 12,
+    "lapel": 30,
+    "leg warmer": 21,
+    "neckline": 34,
+    "pants": 7,
+    "pocket": 33,
+    "ribbon": 42,
+    "rivet": 43,
+    "ruffle": 44,
+    "scarf": 26,
+    "sequin": 45,
+    "shirt, blouse": 1,
+    "shoe": 24,
+    "shorts": 8,
+    "skirt": 9,
+    "sleeve": 32,
+    "sock": 23,
+    "sweater": 3,
+    "tassel": 46,
+    "tie": 17,
+    "tights, stockings": 22,
+    "top, t-shirt, sweatshirt": 2,
+    "umbrella": 27,
+    "unlabelled": 0,
+    "vest": 6,
+    "watch": 19,
+    "zipper": 36
+  },
+  "layer_norm_eps": 1e-06,
+  "mlp_ratios": [
+    4,
+    4,
+    4,
+    4
+  ],
+  "model_type": "segformer",
+  "num_attention_heads": [
+    1,
+    2,
+    5,
+    8
+  ],
+  "num_channels": 3,
+  "num_encoder_blocks": 4,
+  "patch_sizes": [
+    7,
+    3,
+    3,
+    3
+  ],
+  "reshape_last_stage": true,
+  "semantic_loss_ignore_index": 255,
+  "sr_ratios": [
+    8,
+    4,
+    2,
+    1
+  ],
+  "strides": [
+    4,
+    2,
+    2,
+    2
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.30.0"
+}

preprocessor_config.json

@@ -0,0 +1,23 @@
+{
+  "do_normalize": true,
+  "do_reduce_labels": false,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "SegformerImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 512,
+    "width": 512
+  }
+}

pytorch_model.bin

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+size 189264154

training_args.bin

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+oid sha256:f871f7bdbc3af72746e7b76beb628f6365db08040b58b3071238dca986de97ca
+size 4408