End of training

README.md

@@ -8,27 +8,35 @@ tags:
 model-index:
 - name: segformer-b0-finetuned-v0
   results: []
-pipeline_tag: image-segmentation
-datasets:
-- tontokoton/artery-ultrasound-siit
-metrics:
-- mean_iou
-widget:
-  - src: >-
-      https://datasets-server.huggingface.co/assets/tontokoton/artery-ultrasound-siit/--/default/train/0/pixel_values/image.jpg
-    example_title: Ultrasound1
-  - src: >-
-      https://datasets-server.huggingface.co/assets/tontokoton/artery-ultrasound-siit/--/default/train/1/pixel_values/image.jpg
-    example_title: Ultrasound2
 ---
 
-
 <!-- 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-finetuned-v0
 
 This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the tontokoton/artery-ultrasound-siit dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5847
+- Mean Iou: 0.1252
+- Mean Accuracy: 0.2052
+- Overall Accuracy: 0.2652
+- Accuracy Artery: nan
+- Accuracy Vein: 0.2256
+- Accuracy Nerve: 0.0
+- Accuracy Muscle1: 0.0
+- Accuracy Muscle2: 0.3266
+- Accuracy Muscle3: 0.0009
+- Accuracy Muscle4: 0.6780
+- Accuracy Unknown: nan
+- Iou Artery: 0.0
+- Iou Vein: 0.2256
+- Iou Nerve: 0.0
+- Iou Muscle1: 0.0
+- Iou Muscle2: 0.2135
+- Iou Muscle3: 0.0005
+- Iou Muscle4: 0.4366
+- Iou Unknown: nan
 
 ## Model description
 
@@ -53,10 +61,17 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 50
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Artery | Accuracy Vein | Accuracy Nerve | Accuracy Muscle1 | Accuracy Muscle2 | Accuracy Muscle3 | Accuracy Muscle4 | Accuracy Unknown | Iou Artery | Iou Vein | Iou Nerve | Iou Muscle1 | Iou Muscle2 | Iou Muscle3 | Iou Muscle4 | Iou Unknown |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:---------------:|:-------------:|:--------------:|:----------------:|:----------------:|:----------------:|:----------------:|:----------------:|:----------:|:--------:|:---------:|:-----------:|:-----------:|:-----------:|:-----------:|:-----------:|
+| 1.7835        | 10.0  | 10   | 1.9744          | 0.0620   | 0.1572        | 0.2117           | nan             | 0.0834        | 0.0            | 0.0              | 0.2330           | 0.0002           | 0.6266           | nan              | 0.0        | 0.0563   | 0.0       | 0.0         | 0.1422      | 0.0001      | 0.2975      | 0.0         |
+| 1.4779        | 20.0  | 20   | 1.8578          | 0.0954   | 0.1794        | 0.2576           | nan             | 0.0670        | 0.0            | 0.0              | 0.3099           | 0.0              | 0.6992           | nan              | 0.0        | 0.0670   | 0.0       | 0.0         | 0.1857      | 0.0         | 0.4152      | nan         |
+| 1.3434        | 30.0  | 30   | 1.6759          | 0.1239   | 0.2014        | 0.2743           | nan             | 0.1921        | 0.0            | 0.0              | 0.3566           | 0.0              | 0.6594           | nan              | 0.0        | 0.1921   | 0.0       | 0.0         | 0.2244      | 0.0         | 0.4509      | nan         |
+| 1.2779        | 40.0  | 40   | 1.6276          | 0.1375   | 0.2263        | 0.3176           | nan             | 0.2159        | 0.0            | 0.0              | 0.4348           | 0.0              | 0.7073           | nan              | 0.0        | 0.2159   | 0.0       | 0.0         | 0.2784      | 0.0         | 0.4684      | nan         |
+| 1.1988        | 50.0  | 50   | 1.5847          | 0.1252   | 0.2052        | 0.2652           | nan             | 0.2256        | 0.0            | 0.0              | 0.3266           | 0.0009           | 0.6780           | nan              | 0.0        | 0.2256   | 0.0       | 0.0         | 0.2135      | 0.0005      | 0.4366      | nan         |
 
 
 ### Framework versions
@@ -64,4 +79,4 @@ The following hyperparameters were used during training:
 - Transformers 4.33.1
 - Pytorch 2.0.1+cu118
 - Datasets 2.14.5
-- Tokenizers 0.13.3
+- Tokenizers 0.13.3

pytorch_model.bin

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