End of training

README.md

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+---
+license: other
+base_model: nvidia/mit-b0
+tags:
+- vision
+- image-segmentation
+- generated_from_trainer
+model-index:
+- name: segformer-b0-winter
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# segformer-b0-winter
+
+This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the johanhag/winter-test dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6686
+- Mean Iou: 0.5315
+- Mean Accuracy: 0.7459
+- Overall Accuracy: 0.9352
+- Accuracy Unlabeled: 0.0
+- Accuracy Object: nan
+- Accuracy Road: 0.9639
+- Accuracy Side walk: 0.8594
+- Accuracy Car: 0.9680
+- Accuracy Pedestrian: nan
+- Accuracy Other: 0.9381
+- Iou Unlabeled: 0.0
+- Iou Object: nan
+- Iou Road: 0.8582
+- Iou Side walk: 0.7325
+- Iou Car: 0.6625
+- Iou Pedestrian: 0.0
+- Iou Other: 0.9360
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 6e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Unlabeled | Accuracy Object | Accuracy Road | Accuracy Side walk | Accuracy Car | Accuracy Pedestrian | Accuracy Other | Iou Unlabeled | Iou Object | Iou Road | Iou Side walk | Iou Car | Iou Pedestrian | Iou Other |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:------------------:|:---------------:|:-------------:|:------------------:|:------------:|:-------------------:|:--------------:|:-------------:|:----------:|:--------:|:-------------:|:-------:|:--------------:|:---------:|
+| 0.8742        | 4.0   | 20   | 0.7473          | 0.5041   | 0.7285        | 0.9203           | 0.0                | nan             | 0.9534        | 0.7751             | 0.9811       | nan                 | 0.9332         | 0.0           | nan        | 0.8077   | 0.6691        | 0.6166  | 0.0            | 0.9315    |
+| 0.6909        | 8.0   | 40   | 0.6686          | 0.5315   | 0.7459        | 0.9352           | 0.0                | nan             | 0.9639        | 0.8594             | 0.9680       | nan                 | 0.9381         | 0.0           | nan        | 0.8582   | 0.7325        | 0.6625  | 0.0            | 0.9360    |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0

config.json

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+{
+  "_name_or_path": "nvidia/mit-b0",
+  "architectures": [
+    "SegformerForSemanticSegmentation"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "classifier_dropout_prob": 0.1,
+  "decoder_hidden_size": 256,
+  "depths": [
+    2,
+    2,
+    2,
+    2
+  ],
+  "downsampling_rates": [
+    1,
+    4,
+    8,
+    16
+  ],
+  "drop_path_rate": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_sizes": [
+    32,
+    64,
+    160,
+    256
+  ],
+  "id2label": {
+    "0": "unlabeled",
+    "1": "object",
+    "2": "road",
+    "3": "side walk",
+    "4": "car",
+    "5": "pedestrian",
+    "6": "other"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "car": 4,
+    "object": 1,
+    "other": 6,
+    "pedestrian": 5,
+    "road": 2,
+    "side walk": 3,
+    "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": "4.35.2"
+}

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training_args.bin

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