End of training

README.md

@@ -17,26 +17,31 @@ should probably proofread and complete it, then remove this comment. -->
 
 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
+- eval_loss: 1.4971
+- eval_mean_iou: 0.1068
+- eval_mean_accuracy: 0.2327
+- eval_overall_accuracy: 0.8437
+- eval_accuracy_artery: nan
+- eval_accuracy_vein: 0.0062
+- eval_accuracy_nerve: 0.0022
+- eval_accuracy_muscle1: 0.0
+- eval_accuracy_muscle2: 0.9224
+- eval_accuracy_muscle3: nan
+- eval_accuracy_muscle4: nan
+- eval_accuracy_unknown: nan
+- eval_iou_artery: 0.0
+- eval_iou_vein: 0.0061
+- eval_iou_nerve: 0.0021
+- eval_iou_muscle1: 0.0
+- eval_iou_muscle2: 0.8458
+- eval_iou_muscle3: 0.0
+- eval_iou_muscle4: 0.0
+- eval_iou_unknown: 0.0
+- eval_runtime: 11.3293
+- eval_samples_per_second: 1.765
+- eval_steps_per_second: 0.883
+- epoch: 2.25
+- step: 90
 
 ## Model description
 
@@ -55,7 +60,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 6e-05
+- learning_rate: 1e-05
 - train_batch_size: 2
 - eval_batch_size: 2
 - seed: 42
@@ -63,20 +68,9 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - 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
 
-- Transformers 4.33.1
+- Transformers 4.34.0
 - Pytorch 2.0.1+cu118
 - Datasets 2.14.5
-- Tokenizers 0.13.3
+- Tokenizers 0.14.1

config.json

@@ -86,5 +86,5 @@
     2
   ],
   "torch_dtype": "float32",
-  "transformers_version": "4.33.1"
+  "transformers_version": "4.34.0"
 }

pytorch_model.bin

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training_args.bin

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