End of training

README.md

@@ -1,199 +1,84 @@
 ---
-library_name: transformers
-tags: []
+license: other
+base_model: nvidia/mit-b4
+tags:
+- vision
+- image-segmentation
+- generated_from_trainer
+model-index:
+- name: segformer_Clean_Set1_95images
+  results: []
 ---
 
-# Model Card for Model ID
-
-<!-- Provide a quick summary of what the model is/does. -->
-
-
-
-## Model Details
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-### Model Description
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-<!-- Provide a longer summary of what this model is. -->
-
-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
-
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-## Uses
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+<!-- 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_Clean_Set1_95images
+
+This model is a fine-tuned version of [nvidia/mit-b4](https://huggingface.co/nvidia/mit-b4) on the Hasano20/Clean_Set1_95images dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0223
+- Mean Iou: 0.6447
+- Mean Accuracy: 0.9824
+- Overall Accuracy: 0.9886
+- Accuracy Background: nan
+- Accuracy Melt: 0.9724
+- Accuracy Substrate: 0.9923
+- Iou Background: 0.0
+- Iou Melt: 0.9458
+- Iou Substrate: 0.9882
+
+## 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: 0.0001
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Background | Accuracy Melt | Accuracy Substrate | Iou Background | Iou Melt | Iou Substrate |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:-------------------:|:-------------:|:------------------:|:--------------:|:--------:|:-------------:|
+| 0.2051        | 1.1765  | 20   | 0.3764          | 0.3339   | 0.5766        | 0.8354           | nan                 | 0.1639        | 0.9894             | 0.0            | 0.1612   | 0.8404        |
+| 0.3486        | 2.3529  | 40   | 0.1932          | 0.4595   | 0.7687        | 0.8745           | nan                 | 0.6000        | 0.9375             | 0.0            | 0.4928   | 0.8858        |
+| 0.0831        | 3.5294  | 60   | 0.2016          | 0.4101   | 0.6782        | 0.8792           | nan                 | 0.3576        | 0.9988             | 0.0            | 0.3570   | 0.8732        |
+| 0.0809        | 4.7059  | 80   | 0.0763          | 0.5787   | 0.9243        | 0.9507           | nan                 | 0.8822        | 0.9664             | 0.0            | 0.7830   | 0.9531        |
+| 0.0325        | 5.8824  | 100  | 0.0694          | 0.6028   | 0.9436        | 0.9618           | nan                 | 0.9146        | 0.9727             | 0.0            | 0.8479   | 0.9606        |
+| 0.0279        | 7.0588  | 120  | 0.0460          | 0.6142   | 0.9520        | 0.9712           | nan                 | 0.9213        | 0.9826             | 0.0            | 0.8739   | 0.9686        |
+| 0.0493        | 8.2353  | 140  | 0.0353          | 0.6297   | 0.9648        | 0.9802           | nan                 | 0.9404        | 0.9893             | 0.0            | 0.9092   | 0.9797        |
+| 0.0286        | 9.4118  | 160  | 0.0366          | 0.6261   | 0.9643        | 0.9765           | nan                 | 0.9449        | 0.9837             | 0.0            | 0.8997   | 0.9787        |
+| 0.0463        | 10.5882 | 180  | 0.0258          | 0.6425   | 0.9798        | 0.9879           | nan                 | 0.9669        | 0.9927             | 0.0            | 0.9414   | 0.9862        |
+| 0.0145        | 11.7647 | 200  | 0.0302          | 0.6324   | 0.9652        | 0.9821           | nan                 | 0.9382        | 0.9922             | 0.0            | 0.9162   | 0.9810        |
+| 0.0221        | 12.9412 | 220  | 0.0262          | 0.6379   | 0.9733        | 0.9850           | nan                 | 0.9547        | 0.9919             | 0.0            | 0.9289   | 0.9848        |
+| 0.0109        | 14.1176 | 240  | 0.0236          | 0.6417   | 0.9764        | 0.9869           | nan                 | 0.9595        | 0.9932             | 0.0            | 0.9379   | 0.9871        |
+| 0.0122        | 15.2941 | 260  | 0.0252          | 0.6407   | 0.9812        | 0.9866           | nan                 | 0.9725        | 0.9898             | 0.0            | 0.9358   | 0.9864        |
+| 0.0101        | 16.4706 | 280  | 0.0239          | 0.6417   | 0.9799        | 0.9869           | nan                 | 0.9686        | 0.9911             | 0.0            | 0.9382   | 0.9870        |
+| 0.0113        | 17.6471 | 300  | 0.0231          | 0.6425   | 0.9798        | 0.9874           | nan                 | 0.9675        | 0.9920             | 0.0            | 0.9399   | 0.9875        |
+| 0.0086        | 18.8235 | 320  | 0.0225          | 0.6444   | 0.9826        | 0.9885           | nan                 | 0.9733        | 0.9919             | 0.0            | 0.9451   | 0.9882        |
+| 0.0086        | 20.0    | 340  | 0.0223          | 0.6447   | 0.9824        | 0.9886           | nan                 | 0.9724        | 0.9923             | 0.0            | 0.9458   | 0.9882        |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.19.2
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,80 @@
+{
+  "_name_or_path": "nvidia/mit-b4",
+  "architectures": [
+    "SegformerForSemanticSegmentation"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "classifier_dropout_prob": 0.1,
+  "decoder_hidden_size": 768,
+  "depths": [
+    3,
+    8,
+    27,
+    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": "background",
+    "1": "melt",
+    "2": "substrate"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "background": 0,
+    "melt": 1,
+    "substrate": 2
+  },
+  "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": "4.41.2"
+}

model.safetensors

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+size 256100204

training_args.bin

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