Model save

checkpoint-2160/config.json

@@ -1,82 +0,0 @@
-{
-  "_name_or_path": "nvidia/mit-b5",
-  "architectures": [
-    "SegformerForSemanticSegmentation"
-  ],
-  "attention_probs_dropout_prob": 0.0,
-  "classifier_dropout_prob": 0.1,
-  "decoder_hidden_size": 768,
-  "depths": [
-    3,
-    6,
-    40,
-    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": "unlabeled",
-    "1": "sidewalk",
-    "2": "road",
-    "3": "ELSE"
-  },
-  "image_size": 224,
-  "initializer_range": 0.02,
-  "label2id": {
-    "ELSE": 3,
-    "road": 2,
-    "sidewalk": 1,
-    "unlabeled": 0
-  },
-  "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": "4.30.2"
-}

checkpoint-2160/optimizer.pt

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checkpoint-2160/pytorch_model.bin

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checkpoint-2160/rng_state.pth

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checkpoint-2160/scheduler.pt

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checkpoint-2160/training_args.bin

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pytorch_model.bin

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runs/Feb25_17-51-35_robolidar/events.out.tfevents.1708905105.robolidar.3970122.0

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