End of training

README.md

@@ -2,6 +2,8 @@
 license: mit
 base_model: openmmlab/upernet-convnext-small
 tags:
+- image-segmentation
+- vision
 - generated_from_trainer
 model-index:
 - name: upernet-convnext-small-finetuned
@@ -13,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # upernet-convnext-small-finetuned
 
-This model is a fine-tuned version of [openmmlab/upernet-convnext-small](https://huggingface.co/openmmlab/upernet-convnext-small) on an unknown dataset.
+This model is a fine-tuned version of [openmmlab/upernet-convnext-small](https://huggingface.co/openmmlab/upernet-convnext-small) on the jpodivin/plantorgans dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.2874
 - Mean Iou: 0.4231

all_results.json

@@ -0,0 +1,25 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy_Flower": 0.0,
+    "eval_accuracy_Fruit": 0.8642061740279863,
+    "eval_accuracy_Leaf": 0.7167276511452706,
+    "eval_accuracy_Stem": 0.5563431060988867,
+    "eval_accuracy_void": NaN,
+    "eval_iou_Flower": 0.0,
+    "eval_iou_Fruit": 0.8604970362487987,
+    "eval_iou_Leaf": 0.7107696156044375,
+    "eval_iou_Stem": 0.544019147132753,
+    "eval_iou_void": 0.0,
+    "eval_loss": 0.2873678207397461,
+    "eval_mean_accuracy": 0.5343192328180358,
+    "eval_mean_iou": 0.4230571597971979,
+    "eval_median_iou": 0.5440191626548767,
+    "eval_overall_accuracy": 0.7437177825812409,
+    "eval_runtime": 718.6938,
+    "eval_samples_per_second": 1.999,
+    "eval_steps_per_second": 0.2,
+    "train_loss": 0.3622851570447286,
+    "train_runtime": 4827.2765,
+    "train_samples_per_second": 3.57,
+    "train_steps_per_second": 0.357
+}

eval_results.json

@@ -0,0 +1,21 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy_Flower": 0.0,
+    "eval_accuracy_Fruit": 0.8642061740279863,
+    "eval_accuracy_Leaf": 0.7167276511452706,
+    "eval_accuracy_Stem": 0.5563431060988867,
+    "eval_accuracy_void": NaN,
+    "eval_iou_Flower": 0.0,
+    "eval_iou_Fruit": 0.8604970362487987,
+    "eval_iou_Leaf": 0.7107696156044375,
+    "eval_iou_Stem": 0.544019147132753,
+    "eval_iou_void": 0.0,
+    "eval_loss": 0.2873678207397461,
+    "eval_mean_accuracy": 0.5343192328180358,
+    "eval_mean_iou": 0.4230571597971979,
+    "eval_median_iou": 0.5440191626548767,
+    "eval_overall_accuracy": 0.7437177825812409,
+    "eval_runtime": 718.6938,
+    "eval_samples_per_second": 1.999,
+    "eval_steps_per_second": 0.2
+}

train_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 3.0,
+    "train_loss": 0.3622851570447286,
+    "train_runtime": 4827.2765,
+    "train_samples_per_second": 3.57,
+    "train_steps_per_second": 0.357
+}