End of training
Browse files- README.md +3 -1
- all_results.json +27 -0
- eval_results.json +22 -0
- runs/Apr03_14-14-32_algo-1/events.out.tfevents.1743694546.algo-1.68.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +857 -0
README.md
CHANGED
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@@ -3,6 +3,8 @@ library_name: transformers
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license: other
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| 4 |
base_model: nvidia/segformer-b3-finetuned-cityscapes-1024-1024
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| 5 |
tags:
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- generated_from_trainer
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model-index:
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| 8 |
- name: route_background_semantic
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@@ -14,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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| 15 |
# route_background_semantic
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| 16 |
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| 17 |
-
This model is a fine-tuned version of [nvidia/segformer-b3-finetuned-cityscapes-1024-1024](https://huggingface.co/nvidia/segformer-b3-finetuned-cityscapes-1024-1024) on
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| 18 |
It achieves the following results on the evaluation set:
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| 19 |
- Loss: 0.2360
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| 20 |
- Mean Iou: 0.1916
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| 3 |
license: other
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| 4 |
base_model: nvidia/segformer-b3-finetuned-cityscapes-1024-1024
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| 5 |
tags:
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| 6 |
+
- image-segmentation
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| 7 |
+
- vision
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| 8 |
- generated_from_trainer
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| 9 |
model-index:
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- name: route_background_semantic
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| 16 |
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| 17 |
# route_background_semantic
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| 18 |
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| 19 |
+
This model is a fine-tuned version of [nvidia/segformer-b3-finetuned-cityscapes-1024-1024](https://huggingface.co/nvidia/segformer-b3-finetuned-cityscapes-1024-1024) on the Logiroad/route_background_semantic dataset.
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| 20 |
It achieves the following results on the evaluation set:
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| 21 |
- Loss: 0.2360
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| 22 |
- Mean Iou: 0.1916
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all_results.json
ADDED
|
@@ -0,0 +1,27 @@
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+
{
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| 2 |
+
"epoch": 4.120313143798929,
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| 3 |
+
"eval_accuracy_Autre r\u00e9paration": 0.34369405810457515,
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| 4 |
+
"eval_accuracy_D\u00e9coupe": 0.2864541960267422,
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| 5 |
+
"eval_accuracy_Emergence": 0.5548598133737452,
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| 6 |
+
"eval_accuracy_Gla\u00e7age ou Ressuage": 0.03860482159488221,
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| 7 |
+
"eval_accuracy_Reflet m\u00e9t\u00e9o": 0.0,
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| 8 |
+
"eval_accuracy_Unlabeled": NaN,
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| 9 |
+
"eval_iou_Autre r\u00e9paration": 0.32304877421180617,
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| 10 |
+
"eval_iou_D\u00e9coupe": 0.2515107459482324,
|
| 11 |
+
"eval_iou_Emergence": 0.5379450939388203,
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| 12 |
+
"eval_iou_Gla\u00e7age ou Ressuage": 0.03692047935180606,
|
| 13 |
+
"eval_iou_Reflet m\u00e9t\u00e9o": 0.0,
|
| 14 |
+
"eval_iou_Unlabeled": 0.0,
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| 15 |
+
"eval_loss": 0.23602528870105743,
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| 16 |
+
"eval_mean_accuracy": 0.244722577819989,
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| 17 |
+
"eval_mean_iou": 0.19157084890844414,
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| 18 |
+
"eval_overall_accuracy": 0.29617685609695316,
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| 19 |
+
"eval_runtime": 139.8938,
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| 20 |
+
"eval_samples_per_second": 12.96,
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| 21 |
+
"eval_steps_per_second": 3.245,
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| 22 |
+
"total_flos": 8.912029734867567e+18,
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| 23 |
+
"train_loss": 0.29374205589294433,
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| 24 |
+
"train_runtime": 4666.1544,
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| 25 |
+
"train_samples_per_second": 8.572,
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| 26 |
+
"train_steps_per_second": 2.143
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| 27 |
+
}
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eval_results.json
ADDED
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@@ -0,0 +1,22 @@
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+
{
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+
"epoch": 4.120313143798929,
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| 3 |
+
"eval_accuracy_Autre r\u00e9paration": 0.34369405810457515,
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| 4 |
+
"eval_accuracy_D\u00e9coupe": 0.2864541960267422,
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| 5 |
+
"eval_accuracy_Emergence": 0.5548598133737452,
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| 6 |
+
"eval_accuracy_Gla\u00e7age ou Ressuage": 0.03860482159488221,
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| 7 |
+
"eval_accuracy_Reflet m\u00e9t\u00e9o": 0.0,
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| 8 |
+
"eval_accuracy_Unlabeled": NaN,
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| 9 |
+
"eval_iou_Autre r\u00e9paration": 0.32304877421180617,
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| 10 |
+
"eval_iou_D\u00e9coupe": 0.2515107459482324,
|
| 11 |
+
"eval_iou_Emergence": 0.5379450939388203,
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| 12 |
+
"eval_iou_Gla\u00e7age ou Ressuage": 0.03692047935180606,
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| 13 |
+
"eval_iou_Reflet m\u00e9t\u00e9o": 0.0,
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| 14 |
+
"eval_iou_Unlabeled": 0.0,
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| 15 |
+
"eval_loss": 0.23602528870105743,
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| 16 |
+
"eval_mean_accuracy": 0.244722577819989,
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| 17 |
+
"eval_mean_iou": 0.19157084890844414,
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| 18 |
+
"eval_overall_accuracy": 0.29617685609695316,
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| 19 |
+
"eval_runtime": 139.8938,
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| 20 |
+
"eval_samples_per_second": 12.96,
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| 21 |
+
"eval_steps_per_second": 3.245
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| 22 |
+
}
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runs/Apr03_14-14-32_algo-1/events.out.tfevents.1743694546.algo-1.68.1
ADDED
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@@ -0,0 +1,3 @@
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+
version https://git-lfs.github.com/spec/v1
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+
oid sha256:59595d0d3c23c844777eb70744722185bd0829a3684dd30cd84350fd4d945dd0
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+
size 1288
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train_results.json
ADDED
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@@ -0,0 +1,8 @@
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+
{
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+
"epoch": 4.120313143798929,
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| 3 |
+
"total_flos": 8.912029734867567e+18,
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| 4 |
+
"train_loss": 0.29374205589294433,
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| 5 |
+
"train_runtime": 4666.1544,
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| 6 |
+
"train_samples_per_second": 8.572,
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| 7 |
+
"train_steps_per_second": 2.143
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+
}
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trainer_state.json
ADDED
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@@ -0,0 +1,857 @@
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