End of training
Browse files- README.md +3 -1
- all_results.json +18 -0
- eval_results.json +14 -0
- train_results.json +7 -0
- trainer_state.json +973 -0
README.md
CHANGED
|
@@ -2,6 +2,8 @@
|
|
| 2 |
license: other
|
| 3 |
base_model: nvidia/mit-b5
|
| 4 |
tags:
|
|
|
|
|
|
|
| 5 |
- generated_from_trainer
|
| 6 |
model-index:
|
| 7 |
- name: new_ecc_segformer
|
|
@@ -13,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 13 |
|
| 14 |
# new_ecc_segformer
|
| 15 |
|
| 16 |
-
This model is a fine-tuned version of [nvidia/mit-b5](https://huggingface.co/nvidia/mit-b5) on
|
| 17 |
It achieves the following results on the evaluation set:
|
| 18 |
- Loss: 0.0663
|
| 19 |
- Mean Iou: 0.1943
|
|
|
|
| 2 |
license: other
|
| 3 |
base_model: nvidia/mit-b5
|
| 4 |
tags:
|
| 5 |
+
- image-segmentation
|
| 6 |
+
- vision
|
| 7 |
- generated_from_trainer
|
| 8 |
model-index:
|
| 9 |
- name: new_ecc_segformer
|
|
|
|
| 15 |
|
| 16 |
# new_ecc_segformer
|
| 17 |
|
| 18 |
+
This model is a fine-tuned version of [nvidia/mit-b5](https://huggingface.co/nvidia/mit-b5) on the rishitunu/ECC_crackdataset_withsplit dataset.
|
| 19 |
It achieves the following results on the evaluation set:
|
| 20 |
- Loss: 0.0663
|
| 21 |
- Mean Iou: 0.1943
|
all_results.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 22.83,
|
| 3 |
+
"eval_accuracy_background": NaN,
|
| 4 |
+
"eval_accuracy_crack": 0.39152312949515705,
|
| 5 |
+
"eval_iou_background": 0.0,
|
| 6 |
+
"eval_iou_crack": 0.3886899926792824,
|
| 7 |
+
"eval_loss": 0.06628751754760742,
|
| 8 |
+
"eval_mean_accuracy": 0.39152312949515705,
|
| 9 |
+
"eval_mean_iou": 0.1943449963396412,
|
| 10 |
+
"eval_overall_accuracy": 0.39152312949515705,
|
| 11 |
+
"eval_runtime": 311.0742,
|
| 12 |
+
"eval_samples_per_second": 0.498,
|
| 13 |
+
"eval_steps_per_second": 0.251,
|
| 14 |
+
"train_loss": 0.04071027485132218,
|
| 15 |
+
"train_runtime": 169673.5427,
|
| 16 |
+
"train_samples_per_second": 0.118,
|
| 17 |
+
"train_steps_per_second": 0.059
|
| 18 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 22.83,
|
| 3 |
+
"eval_accuracy_background": NaN,
|
| 4 |
+
"eval_accuracy_crack": 0.39152312949515705,
|
| 5 |
+
"eval_iou_background": 0.0,
|
| 6 |
+
"eval_iou_crack": 0.3886899926792824,
|
| 7 |
+
"eval_loss": 0.06628751754760742,
|
| 8 |
+
"eval_mean_accuracy": 0.39152312949515705,
|
| 9 |
+
"eval_mean_iou": 0.1943449963396412,
|
| 10 |
+
"eval_overall_accuracy": 0.39152312949515705,
|
| 11 |
+
"eval_runtime": 311.0742,
|
| 12 |
+
"eval_samples_per_second": 0.498,
|
| 13 |
+
"eval_steps_per_second": 0.251
|
| 14 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 22.83,
|
| 3 |
+
"train_loss": 0.04071027485132218,
|
| 4 |
+
"train_runtime": 169673.5427,
|
| 5 |
+
"train_samples_per_second": 0.118,
|
| 6 |
+
"train_steps_per_second": 0.059
|
| 7 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,973 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 22.831050228310502,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 10000,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.23,
|
| 13 |
+
"learning_rate": 5.9401e-05,
|
| 14 |
+
"loss": 0.0937,
|
| 15 |
+
"step": 100
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 0.46,
|
| 19 |
+
"learning_rate": 5.8802000000000004e-05,
|
| 20 |
+
"loss": 0.0673,
|
| 21 |
+
"step": 200
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 0.68,
|
| 25 |
+
"learning_rate": 5.8203e-05,
|
| 26 |
+
"loss": 0.0715,
|
| 27 |
+
"step": 300
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"epoch": 0.91,
|
| 31 |
+
"learning_rate": 5.7604e-05,
|
| 32 |
+
"loss": 0.0489,
|
| 33 |
+
"step": 400
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"epoch": 1.0,
|
| 37 |
+
"eval_accuracy_background": NaN,
|
| 38 |
+
"eval_accuracy_crack": 0.29331513143464055,
|
| 39 |
+
"eval_iou_background": 0.0,
|
| 40 |
+
"eval_iou_crack": 0.29288824717786444,
|
| 41 |
+
"eval_loss": 0.06341855227947235,
|
| 42 |
+
"eval_mean_accuracy": 0.29331513143464055,
|
| 43 |
+
"eval_mean_iou": 0.14644412358893222,
|
| 44 |
+
"eval_overall_accuracy": 0.29331513143464055,
|
| 45 |
+
"eval_runtime": 297.3421,
|
| 46 |
+
"eval_samples_per_second": 0.521,
|
| 47 |
+
"eval_steps_per_second": 0.262,
|
| 48 |
+
"step": 438
|
| 49 |
+
},
|
| 50 |
+
{
|
| 51 |
+
"epoch": 1.14,
|
| 52 |
+
"learning_rate": 5.7005e-05,
|
| 53 |
+
"loss": 0.0581,
|
| 54 |
+
"step": 500
|
| 55 |
+
},
|
| 56 |
+
{
|
| 57 |
+
"epoch": 1.37,
|
| 58 |
+
"learning_rate": 5.6406e-05,
|
| 59 |
+
"loss": 0.0521,
|
| 60 |
+
"step": 600
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"epoch": 1.6,
|
| 64 |
+
"learning_rate": 5.5806999999999996e-05,
|
| 65 |
+
"loss": 0.0545,
|
| 66 |
+
"step": 700
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 1.83,
|
| 70 |
+
"learning_rate": 5.5208000000000004e-05,
|
| 71 |
+
"loss": 0.0542,
|
| 72 |
+
"step": 800
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 2.0,
|
| 76 |
+
"eval_accuracy_background": NaN,
|
| 77 |
+
"eval_accuracy_crack": 0.3916558917583496,
|
| 78 |
+
"eval_iou_background": 0.0,
|
| 79 |
+
"eval_iou_crack": 0.3911766359140811,
|
| 80 |
+
"eval_loss": 0.04389064386487007,
|
| 81 |
+
"eval_mean_accuracy": 0.3916558917583496,
|
| 82 |
+
"eval_mean_iou": 0.19558831795704054,
|
| 83 |
+
"eval_overall_accuracy": 0.3916558917583496,
|
| 84 |
+
"eval_runtime": 307.0821,
|
| 85 |
+
"eval_samples_per_second": 0.505,
|
| 86 |
+
"eval_steps_per_second": 0.254,
|
| 87 |
+
"step": 876
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 2.05,
|
| 91 |
+
"learning_rate": 5.4609000000000005e-05,
|
| 92 |
+
"loss": 0.0531,
|
| 93 |
+
"step": 900
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 2.28,
|
| 97 |
+
"learning_rate": 5.401e-05,
|
| 98 |
+
"loss": 0.0561,
|
| 99 |
+
"step": 1000
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 2.51,
|
| 103 |
+
"learning_rate": 5.3411e-05,
|
| 104 |
+
"loss": 0.0464,
|
| 105 |
+
"step": 1100
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 2.74,
|
| 109 |
+
"learning_rate": 5.2812e-05,
|
| 110 |
+
"loss": 0.06,
|
| 111 |
+
"step": 1200
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"epoch": 2.97,
|
| 115 |
+
"learning_rate": 5.2213e-05,
|
| 116 |
+
"loss": 0.0484,
|
| 117 |
+
"step": 1300
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"epoch": 3.0,
|
| 121 |
+
"eval_accuracy_background": NaN,
|
| 122 |
+
"eval_accuracy_crack": 0.3550813313168862,
|
| 123 |
+
"eval_iou_background": 0.0,
|
| 124 |
+
"eval_iou_crack": 0.3438652488711812,
|
| 125 |
+
"eval_loss": 0.04342465475201607,
|
| 126 |
+
"eval_mean_accuracy": 0.3550813313168862,
|
| 127 |
+
"eval_mean_iou": 0.1719326244355906,
|
| 128 |
+
"eval_overall_accuracy": 0.3550813313168862,
|
| 129 |
+
"eval_runtime": 307.3443,
|
| 130 |
+
"eval_samples_per_second": 0.504,
|
| 131 |
+
"eval_steps_per_second": 0.254,
|
| 132 |
+
"step": 1314
|
| 133 |
+
},
|
| 134 |
+
{
|
| 135 |
+
"epoch": 3.2,
|
| 136 |
+
"learning_rate": 5.1614000000000004e-05,
|
| 137 |
+
"loss": 0.0492,
|
| 138 |
+
"step": 1400
|
| 139 |
+
},
|
| 140 |
+
{
|
| 141 |
+
"epoch": 3.42,
|
| 142 |
+
"learning_rate": 5.1015e-05,
|
| 143 |
+
"loss": 0.0448,
|
| 144 |
+
"step": 1500
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"epoch": 3.65,
|
| 148 |
+
"learning_rate": 5.0416e-05,
|
| 149 |
+
"loss": 0.0472,
|
| 150 |
+
"step": 1600
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 3.88,
|
| 154 |
+
"learning_rate": 4.9817e-05,
|
| 155 |
+
"loss": 0.0539,
|
| 156 |
+
"step": 1700
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 4.0,
|
| 160 |
+
"eval_accuracy_background": NaN,
|
| 161 |
+
"eval_accuracy_crack": 0.38202774154073493,
|
| 162 |
+
"eval_iou_background": 0.0,
|
| 163 |
+
"eval_iou_crack": 0.37412116510013244,
|
| 164 |
+
"eval_loss": 0.04474446550011635,
|
| 165 |
+
"eval_mean_accuracy": 0.38202774154073493,
|
| 166 |
+
"eval_mean_iou": 0.18706058255006622,
|
| 167 |
+
"eval_overall_accuracy": 0.38202774154073493,
|
| 168 |
+
"eval_runtime": 309.7837,
|
| 169 |
+
"eval_samples_per_second": 0.5,
|
| 170 |
+
"eval_steps_per_second": 0.252,
|
| 171 |
+
"step": 1752
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 4.11,
|
| 175 |
+
"learning_rate": 4.9218e-05,
|
| 176 |
+
"loss": 0.0521,
|
| 177 |
+
"step": 1800
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 4.34,
|
| 181 |
+
"learning_rate": 4.8619e-05,
|
| 182 |
+
"loss": 0.035,
|
| 183 |
+
"step": 1900
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"epoch": 4.57,
|
| 187 |
+
"learning_rate": 4.8020000000000004e-05,
|
| 188 |
+
"loss": 0.0447,
|
| 189 |
+
"step": 2000
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"epoch": 4.79,
|
| 193 |
+
"learning_rate": 4.7421000000000006e-05,
|
| 194 |
+
"loss": 0.0565,
|
| 195 |
+
"step": 2100
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"epoch": 5.0,
|
| 199 |
+
"eval_accuracy_background": NaN,
|
| 200 |
+
"eval_accuracy_crack": 0.39371514990591194,
|
| 201 |
+
"eval_iou_background": 0.0,
|
| 202 |
+
"eval_iou_crack": 0.3776707590042732,
|
| 203 |
+
"eval_loss": 0.043493106961250305,
|
| 204 |
+
"eval_mean_accuracy": 0.39371514990591194,
|
| 205 |
+
"eval_mean_iou": 0.1888353795021366,
|
| 206 |
+
"eval_overall_accuracy": 0.39371514990591194,
|
| 207 |
+
"eval_runtime": 304.996,
|
| 208 |
+
"eval_samples_per_second": 0.508,
|
| 209 |
+
"eval_steps_per_second": 0.256,
|
| 210 |
+
"step": 2190
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"epoch": 5.02,
|
| 214 |
+
"learning_rate": 4.6822e-05,
|
| 215 |
+
"loss": 0.0526,
|
| 216 |
+
"step": 2200
|
| 217 |
+
},
|
| 218 |
+
{
|
| 219 |
+
"epoch": 5.25,
|
| 220 |
+
"learning_rate": 4.6223e-05,
|
| 221 |
+
"loss": 0.05,
|
| 222 |
+
"step": 2300
|
| 223 |
+
},
|
| 224 |
+
{
|
| 225 |
+
"epoch": 5.48,
|
| 226 |
+
"learning_rate": 4.5624e-05,
|
| 227 |
+
"loss": 0.0421,
|
| 228 |
+
"step": 2400
|
| 229 |
+
},
|
| 230 |
+
{
|
| 231 |
+
"epoch": 5.71,
|
| 232 |
+
"learning_rate": 4.5025000000000003e-05,
|
| 233 |
+
"loss": 0.0489,
|
| 234 |
+
"step": 2500
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 5.94,
|
| 238 |
+
"learning_rate": 4.4426000000000005e-05,
|
| 239 |
+
"loss": 0.0544,
|
| 240 |
+
"step": 2600
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 6.0,
|
| 244 |
+
"eval_accuracy_background": NaN,
|
| 245 |
+
"eval_accuracy_crack": 0.39296475450525853,
|
| 246 |
+
"eval_iou_background": 0.0,
|
| 247 |
+
"eval_iou_crack": 0.38078564516760544,
|
| 248 |
+
"eval_loss": 0.044212136417627335,
|
| 249 |
+
"eval_mean_accuracy": 0.39296475450525853,
|
| 250 |
+
"eval_mean_iou": 0.19039282258380272,
|
| 251 |
+
"eval_overall_accuracy": 0.39296475450525853,
|
| 252 |
+
"eval_runtime": 307.5649,
|
| 253 |
+
"eval_samples_per_second": 0.504,
|
| 254 |
+
"eval_steps_per_second": 0.254,
|
| 255 |
+
"step": 2628
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 6.16,
|
| 259 |
+
"learning_rate": 4.3827e-05,
|
| 260 |
+
"loss": 0.0442,
|
| 261 |
+
"step": 2700
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 6.39,
|
| 265 |
+
"learning_rate": 4.3228e-05,
|
| 266 |
+
"loss": 0.0637,
|
| 267 |
+
"step": 2800
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"epoch": 6.62,
|
| 271 |
+
"learning_rate": 4.2629e-05,
|
| 272 |
+
"loss": 0.0384,
|
| 273 |
+
"step": 2900
|
| 274 |
+
},
|
| 275 |
+
{
|
| 276 |
+
"epoch": 6.85,
|
| 277 |
+
"learning_rate": 4.203e-05,
|
| 278 |
+
"loss": 0.0421,
|
| 279 |
+
"step": 3000
|
| 280 |
+
},
|
| 281 |
+
{
|
| 282 |
+
"epoch": 7.0,
|
| 283 |
+
"eval_accuracy_background": NaN,
|
| 284 |
+
"eval_accuracy_crack": 0.4651369182992577,
|
| 285 |
+
"eval_iou_background": 0.0,
|
| 286 |
+
"eval_iou_crack": 0.45126808677451646,
|
| 287 |
+
"eval_loss": 0.0448518767952919,
|
| 288 |
+
"eval_mean_accuracy": 0.4651369182992577,
|
| 289 |
+
"eval_mean_iou": 0.22563404338725823,
|
| 290 |
+
"eval_overall_accuracy": 0.4651369182992577,
|
| 291 |
+
"eval_runtime": 305.9247,
|
| 292 |
+
"eval_samples_per_second": 0.507,
|
| 293 |
+
"eval_steps_per_second": 0.255,
|
| 294 |
+
"step": 3066
|
| 295 |
+
},
|
| 296 |
+
{
|
| 297 |
+
"epoch": 7.08,
|
| 298 |
+
"learning_rate": 4.1431e-05,
|
| 299 |
+
"loss": 0.033,
|
| 300 |
+
"step": 3100
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"epoch": 7.31,
|
| 304 |
+
"learning_rate": 4.0832e-05,
|
| 305 |
+
"loss": 0.053,
|
| 306 |
+
"step": 3200
|
| 307 |
+
},
|
| 308 |
+
{
|
| 309 |
+
"epoch": 7.53,
|
| 310 |
+
"learning_rate": 4.0233e-05,
|
| 311 |
+
"loss": 0.0431,
|
| 312 |
+
"step": 3300
|
| 313 |
+
},
|
| 314 |
+
{
|
| 315 |
+
"epoch": 7.76,
|
| 316 |
+
"learning_rate": 3.9634e-05,
|
| 317 |
+
"loss": 0.0486,
|
| 318 |
+
"step": 3400
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 7.99,
|
| 322 |
+
"learning_rate": 3.9035e-05,
|
| 323 |
+
"loss": 0.0352,
|
| 324 |
+
"step": 3500
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 8.0,
|
| 328 |
+
"eval_accuracy_background": NaN,
|
| 329 |
+
"eval_accuracy_crack": 0.31645328500017317,
|
| 330 |
+
"eval_iou_background": 0.0,
|
| 331 |
+
"eval_iou_crack": 0.3137668997468883,
|
| 332 |
+
"eval_loss": 0.05873505398631096,
|
| 333 |
+
"eval_mean_accuracy": 0.31645328500017317,
|
| 334 |
+
"eval_mean_iou": 0.15688344987344416,
|
| 335 |
+
"eval_overall_accuracy": 0.31645328500017317,
|
| 336 |
+
"eval_runtime": 304.4089,
|
| 337 |
+
"eval_samples_per_second": 0.509,
|
| 338 |
+
"eval_steps_per_second": 0.256,
|
| 339 |
+
"step": 3504
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 8.22,
|
| 343 |
+
"learning_rate": 3.8436e-05,
|
| 344 |
+
"loss": 0.0404,
|
| 345 |
+
"step": 3600
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 8.45,
|
| 349 |
+
"learning_rate": 3.7837000000000004e-05,
|
| 350 |
+
"loss": 0.0422,
|
| 351 |
+
"step": 3700
|
| 352 |
+
},
|
| 353 |
+
{
|
| 354 |
+
"epoch": 8.68,
|
| 355 |
+
"learning_rate": 3.7238000000000005e-05,
|
| 356 |
+
"loss": 0.0455,
|
| 357 |
+
"step": 3800
|
| 358 |
+
},
|
| 359 |
+
{
|
| 360 |
+
"epoch": 8.9,
|
| 361 |
+
"learning_rate": 3.6639e-05,
|
| 362 |
+
"loss": 0.0394,
|
| 363 |
+
"step": 3900
|
| 364 |
+
},
|
| 365 |
+
{
|
| 366 |
+
"epoch": 9.0,
|
| 367 |
+
"eval_accuracy_background": NaN,
|
| 368 |
+
"eval_accuracy_crack": 0.371040221193475,
|
| 369 |
+
"eval_iou_background": 0.0,
|
| 370 |
+
"eval_iou_crack": 0.3683547749348156,
|
| 371 |
+
"eval_loss": 0.044187385588884354,
|
| 372 |
+
"eval_mean_accuracy": 0.371040221193475,
|
| 373 |
+
"eval_mean_iou": 0.1841773874674078,
|
| 374 |
+
"eval_overall_accuracy": 0.371040221193475,
|
| 375 |
+
"eval_runtime": 307.1965,
|
| 376 |
+
"eval_samples_per_second": 0.505,
|
| 377 |
+
"eval_steps_per_second": 0.254,
|
| 378 |
+
"step": 3942
|
| 379 |
+
},
|
| 380 |
+
{
|
| 381 |
+
"epoch": 9.13,
|
| 382 |
+
"learning_rate": 3.604e-05,
|
| 383 |
+
"loss": 0.0537,
|
| 384 |
+
"step": 4000
|
| 385 |
+
},
|
| 386 |
+
{
|
| 387 |
+
"epoch": 9.36,
|
| 388 |
+
"learning_rate": 3.544100000000001e-05,
|
| 389 |
+
"loss": 0.0358,
|
| 390 |
+
"step": 4100
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"epoch": 9.59,
|
| 394 |
+
"learning_rate": 3.4842e-05,
|
| 395 |
+
"loss": 0.0484,
|
| 396 |
+
"step": 4200
|
| 397 |
+
},
|
| 398 |
+
{
|
| 399 |
+
"epoch": 9.82,
|
| 400 |
+
"learning_rate": 3.4243000000000004e-05,
|
| 401 |
+
"loss": 0.0445,
|
| 402 |
+
"step": 4300
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 10.0,
|
| 406 |
+
"eval_accuracy_background": NaN,
|
| 407 |
+
"eval_accuracy_crack": 0.4173194144606966,
|
| 408 |
+
"eval_iou_background": 0.0,
|
| 409 |
+
"eval_iou_crack": 0.2333501709040323,
|
| 410 |
+
"eval_loss": 0.06093364953994751,
|
| 411 |
+
"eval_mean_accuracy": 0.4173194144606966,
|
| 412 |
+
"eval_mean_iou": 0.11667508545201614,
|
| 413 |
+
"eval_overall_accuracy": 0.4173194144606966,
|
| 414 |
+
"eval_runtime": 311.1107,
|
| 415 |
+
"eval_samples_per_second": 0.498,
|
| 416 |
+
"eval_steps_per_second": 0.251,
|
| 417 |
+
"step": 4380
|
| 418 |
+
},
|
| 419 |
+
{
|
| 420 |
+
"epoch": 10.05,
|
| 421 |
+
"learning_rate": 3.3644000000000005e-05,
|
| 422 |
+
"loss": 0.0355,
|
| 423 |
+
"step": 4400
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 10.27,
|
| 427 |
+
"learning_rate": 3.3045000000000006e-05,
|
| 428 |
+
"loss": 0.0373,
|
| 429 |
+
"step": 4500
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 10.5,
|
| 433 |
+
"learning_rate": 3.2446e-05,
|
| 434 |
+
"loss": 0.0401,
|
| 435 |
+
"step": 4600
|
| 436 |
+
},
|
| 437 |
+
{
|
| 438 |
+
"epoch": 10.73,
|
| 439 |
+
"learning_rate": 3.1847e-05,
|
| 440 |
+
"loss": 0.0414,
|
| 441 |
+
"step": 4700
|
| 442 |
+
},
|
| 443 |
+
{
|
| 444 |
+
"epoch": 10.96,
|
| 445 |
+
"learning_rate": 3.1248e-05,
|
| 446 |
+
"loss": 0.0503,
|
| 447 |
+
"step": 4800
|
| 448 |
+
},
|
| 449 |
+
{
|
| 450 |
+
"epoch": 11.0,
|
| 451 |
+
"eval_accuracy_background": NaN,
|
| 452 |
+
"eval_accuracy_crack": 0.37144860945959984,
|
| 453 |
+
"eval_iou_background": 0.0,
|
| 454 |
+
"eval_iou_crack": 0.3403064320588908,
|
| 455 |
+
"eval_loss": 0.05043744295835495,
|
| 456 |
+
"eval_mean_accuracy": 0.37144860945959984,
|
| 457 |
+
"eval_mean_iou": 0.1701532160294454,
|
| 458 |
+
"eval_overall_accuracy": 0.37144860945959984,
|
| 459 |
+
"eval_runtime": 306.2997,
|
| 460 |
+
"eval_samples_per_second": 0.506,
|
| 461 |
+
"eval_steps_per_second": 0.255,
|
| 462 |
+
"step": 4818
|
| 463 |
+
},
|
| 464 |
+
{
|
| 465 |
+
"epoch": 11.19,
|
| 466 |
+
"learning_rate": 3.0649000000000004e-05,
|
| 467 |
+
"loss": 0.0396,
|
| 468 |
+
"step": 4900
|
| 469 |
+
},
|
| 470 |
+
{
|
| 471 |
+
"epoch": 11.42,
|
| 472 |
+
"learning_rate": 3.0050000000000002e-05,
|
| 473 |
+
"loss": 0.0376,
|
| 474 |
+
"step": 5000
|
| 475 |
+
},
|
| 476 |
+
{
|
| 477 |
+
"epoch": 11.64,
|
| 478 |
+
"learning_rate": 2.9451e-05,
|
| 479 |
+
"loss": 0.0462,
|
| 480 |
+
"step": 5100
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"epoch": 11.87,
|
| 484 |
+
"learning_rate": 2.8851999999999998e-05,
|
| 485 |
+
"loss": 0.0379,
|
| 486 |
+
"step": 5200
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 12.0,
|
| 490 |
+
"eval_accuracy_background": NaN,
|
| 491 |
+
"eval_accuracy_crack": 0.38687645028341855,
|
| 492 |
+
"eval_iou_background": 0.0,
|
| 493 |
+
"eval_iou_crack": 0.3806706282436299,
|
| 494 |
+
"eval_loss": 0.046007703989744186,
|
| 495 |
+
"eval_mean_accuracy": 0.38687645028341855,
|
| 496 |
+
"eval_mean_iou": 0.19033531412181495,
|
| 497 |
+
"eval_overall_accuracy": 0.38687645028341855,
|
| 498 |
+
"eval_runtime": 303.4058,
|
| 499 |
+
"eval_samples_per_second": 0.511,
|
| 500 |
+
"eval_steps_per_second": 0.257,
|
| 501 |
+
"step": 5256
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 12.1,
|
| 505 |
+
"learning_rate": 2.8253e-05,
|
| 506 |
+
"loss": 0.0342,
|
| 507 |
+
"step": 5300
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 12.33,
|
| 511 |
+
"learning_rate": 2.7653999999999996e-05,
|
| 512 |
+
"loss": 0.0374,
|
| 513 |
+
"step": 5400
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 12.56,
|
| 517 |
+
"learning_rate": 2.7054999999999998e-05,
|
| 518 |
+
"loss": 0.0403,
|
| 519 |
+
"step": 5500
|
| 520 |
+
},
|
| 521 |
+
{
|
| 522 |
+
"epoch": 12.79,
|
| 523 |
+
"learning_rate": 2.6455999999999995e-05,
|
| 524 |
+
"loss": 0.0405,
|
| 525 |
+
"step": 5600
|
| 526 |
+
},
|
| 527 |
+
{
|
| 528 |
+
"epoch": 13.0,
|
| 529 |
+
"eval_accuracy_background": NaN,
|
| 530 |
+
"eval_accuracy_crack": 0.4084243428267972,
|
| 531 |
+
"eval_iou_background": 0.0,
|
| 532 |
+
"eval_iou_crack": 0.4034361743374538,
|
| 533 |
+
"eval_loss": 0.04515380412340164,
|
| 534 |
+
"eval_mean_accuracy": 0.4084243428267972,
|
| 535 |
+
"eval_mean_iou": 0.2017180871687269,
|
| 536 |
+
"eval_overall_accuracy": 0.4084243428267972,
|
| 537 |
+
"eval_runtime": 305.5019,
|
| 538 |
+
"eval_samples_per_second": 0.507,
|
| 539 |
+
"eval_steps_per_second": 0.255,
|
| 540 |
+
"step": 5694
|
| 541 |
+
},
|
| 542 |
+
{
|
| 543 |
+
"epoch": 13.01,
|
| 544 |
+
"learning_rate": 2.5857e-05,
|
| 545 |
+
"loss": 0.0329,
|
| 546 |
+
"step": 5700
|
| 547 |
+
},
|
| 548 |
+
{
|
| 549 |
+
"epoch": 13.24,
|
| 550 |
+
"learning_rate": 2.5258e-05,
|
| 551 |
+
"loss": 0.0345,
|
| 552 |
+
"step": 5800
|
| 553 |
+
},
|
| 554 |
+
{
|
| 555 |
+
"epoch": 13.47,
|
| 556 |
+
"learning_rate": 2.4659e-05,
|
| 557 |
+
"loss": 0.0402,
|
| 558 |
+
"step": 5900
|
| 559 |
+
},
|
| 560 |
+
{
|
| 561 |
+
"epoch": 13.7,
|
| 562 |
+
"learning_rate": 2.406e-05,
|
| 563 |
+
"loss": 0.0353,
|
| 564 |
+
"step": 6000
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"epoch": 13.93,
|
| 568 |
+
"learning_rate": 2.3460999999999998e-05,
|
| 569 |
+
"loss": 0.0367,
|
| 570 |
+
"step": 6100
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 14.0,
|
| 574 |
+
"eval_accuracy_background": NaN,
|
| 575 |
+
"eval_accuracy_crack": 0.40603606515740986,
|
| 576 |
+
"eval_iou_background": 0.0,
|
| 577 |
+
"eval_iou_crack": 0.39904072521400735,
|
| 578 |
+
"eval_loss": 0.047693103551864624,
|
| 579 |
+
"eval_mean_accuracy": 0.40603606515740986,
|
| 580 |
+
"eval_mean_iou": 0.19952036260700368,
|
| 581 |
+
"eval_overall_accuracy": 0.40603606515740986,
|
| 582 |
+
"eval_runtime": 305.7852,
|
| 583 |
+
"eval_samples_per_second": 0.507,
|
| 584 |
+
"eval_steps_per_second": 0.255,
|
| 585 |
+
"step": 6132
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 14.16,
|
| 589 |
+
"learning_rate": 2.2862e-05,
|
| 590 |
+
"loss": 0.0398,
|
| 591 |
+
"step": 6200
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 14.38,
|
| 595 |
+
"learning_rate": 2.2263e-05,
|
| 596 |
+
"loss": 0.0369,
|
| 597 |
+
"step": 6300
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 14.61,
|
| 601 |
+
"learning_rate": 2.1663999999999998e-05,
|
| 602 |
+
"loss": 0.0318,
|
| 603 |
+
"step": 6400
|
| 604 |
+
},
|
| 605 |
+
{
|
| 606 |
+
"epoch": 14.84,
|
| 607 |
+
"learning_rate": 2.1065e-05,
|
| 608 |
+
"loss": 0.0315,
|
| 609 |
+
"step": 6500
|
| 610 |
+
},
|
| 611 |
+
{
|
| 612 |
+
"epoch": 15.0,
|
| 613 |
+
"eval_accuracy_background": NaN,
|
| 614 |
+
"eval_accuracy_crack": 0.42079720852910957,
|
| 615 |
+
"eval_iou_background": 0.0,
|
| 616 |
+
"eval_iou_crack": 0.41468731956915605,
|
| 617 |
+
"eval_loss": 0.049836643040180206,
|
| 618 |
+
"eval_mean_accuracy": 0.42079720852910957,
|
| 619 |
+
"eval_mean_iou": 0.20734365978457803,
|
| 620 |
+
"eval_overall_accuracy": 0.42079720852910957,
|
| 621 |
+
"eval_runtime": 305.8824,
|
| 622 |
+
"eval_samples_per_second": 0.507,
|
| 623 |
+
"eval_steps_per_second": 0.255,
|
| 624 |
+
"step": 6570
|
| 625 |
+
},
|
| 626 |
+
{
|
| 627 |
+
"epoch": 15.07,
|
| 628 |
+
"learning_rate": 2.0465999999999997e-05,
|
| 629 |
+
"loss": 0.0386,
|
| 630 |
+
"step": 6600
|
| 631 |
+
},
|
| 632 |
+
{
|
| 633 |
+
"epoch": 15.3,
|
| 634 |
+
"learning_rate": 1.9866999999999998e-05,
|
| 635 |
+
"loss": 0.0481,
|
| 636 |
+
"step": 6700
|
| 637 |
+
},
|
| 638 |
+
{
|
| 639 |
+
"epoch": 15.53,
|
| 640 |
+
"learning_rate": 1.9267999999999996e-05,
|
| 641 |
+
"loss": 0.0322,
|
| 642 |
+
"step": 6800
|
| 643 |
+
},
|
| 644 |
+
{
|
| 645 |
+
"epoch": 15.75,
|
| 646 |
+
"learning_rate": 1.8669e-05,
|
| 647 |
+
"loss": 0.0339,
|
| 648 |
+
"step": 6900
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"epoch": 15.98,
|
| 652 |
+
"learning_rate": 1.807e-05,
|
| 653 |
+
"loss": 0.0244,
|
| 654 |
+
"step": 7000
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 16.0,
|
| 658 |
+
"eval_accuracy_background": NaN,
|
| 659 |
+
"eval_accuracy_crack": 0.40287863220235276,
|
| 660 |
+
"eval_iou_background": 0.0,
|
| 661 |
+
"eval_iou_crack": 0.3926174166302197,
|
| 662 |
+
"eval_loss": 0.04859909415245056,
|
| 663 |
+
"eval_mean_accuracy": 0.40287863220235276,
|
| 664 |
+
"eval_mean_iou": 0.19630870831510985,
|
| 665 |
+
"eval_overall_accuracy": 0.40287863220235276,
|
| 666 |
+
"eval_runtime": 306.6311,
|
| 667 |
+
"eval_samples_per_second": 0.505,
|
| 668 |
+
"eval_steps_per_second": 0.254,
|
| 669 |
+
"step": 7008
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 16.21,
|
| 673 |
+
"learning_rate": 1.7471e-05,
|
| 674 |
+
"loss": 0.0309,
|
| 675 |
+
"step": 7100
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 16.44,
|
| 679 |
+
"learning_rate": 1.6872e-05,
|
| 680 |
+
"loss": 0.0408,
|
| 681 |
+
"step": 7200
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 16.67,
|
| 685 |
+
"learning_rate": 1.6272999999999998e-05,
|
| 686 |
+
"loss": 0.0298,
|
| 687 |
+
"step": 7300
|
| 688 |
+
},
|
| 689 |
+
{
|
| 690 |
+
"epoch": 16.89,
|
| 691 |
+
"learning_rate": 1.5674e-05,
|
| 692 |
+
"loss": 0.031,
|
| 693 |
+
"step": 7400
|
| 694 |
+
},
|
| 695 |
+
{
|
| 696 |
+
"epoch": 17.0,
|
| 697 |
+
"eval_accuracy_background": NaN,
|
| 698 |
+
"eval_accuracy_crack": 0.38919257454889694,
|
| 699 |
+
"eval_iou_background": 0.0,
|
| 700 |
+
"eval_iou_crack": 0.3854711873515346,
|
| 701 |
+
"eval_loss": 0.05684218183159828,
|
| 702 |
+
"eval_mean_accuracy": 0.38919257454889694,
|
| 703 |
+
"eval_mean_iou": 0.1927355936757673,
|
| 704 |
+
"eval_overall_accuracy": 0.38919257454889694,
|
| 705 |
+
"eval_runtime": 307.265,
|
| 706 |
+
"eval_samples_per_second": 0.504,
|
| 707 |
+
"eval_steps_per_second": 0.254,
|
| 708 |
+
"step": 7446
|
| 709 |
+
},
|
| 710 |
+
{
|
| 711 |
+
"epoch": 17.12,
|
| 712 |
+
"learning_rate": 1.5075000000000002e-05,
|
| 713 |
+
"loss": 0.0348,
|
| 714 |
+
"step": 7500
|
| 715 |
+
},
|
| 716 |
+
{
|
| 717 |
+
"epoch": 17.35,
|
| 718 |
+
"learning_rate": 1.4476e-05,
|
| 719 |
+
"loss": 0.0345,
|
| 720 |
+
"step": 7600
|
| 721 |
+
},
|
| 722 |
+
{
|
| 723 |
+
"epoch": 17.58,
|
| 724 |
+
"learning_rate": 1.3877e-05,
|
| 725 |
+
"loss": 0.0352,
|
| 726 |
+
"step": 7700
|
| 727 |
+
},
|
| 728 |
+
{
|
| 729 |
+
"epoch": 17.81,
|
| 730 |
+
"learning_rate": 1.3277999999999999e-05,
|
| 731 |
+
"loss": 0.0288,
|
| 732 |
+
"step": 7800
|
| 733 |
+
},
|
| 734 |
+
{
|
| 735 |
+
"epoch": 18.0,
|
| 736 |
+
"eval_accuracy_background": NaN,
|
| 737 |
+
"eval_accuracy_crack": 0.40924400549520323,
|
| 738 |
+
"eval_iou_background": 0.0,
|
| 739 |
+
"eval_iou_crack": 0.4066834831665307,
|
| 740 |
+
"eval_loss": 0.056042663753032684,
|
| 741 |
+
"eval_mean_accuracy": 0.40924400549520323,
|
| 742 |
+
"eval_mean_iou": 0.20334174158326535,
|
| 743 |
+
"eval_overall_accuracy": 0.40924400549520323,
|
| 744 |
+
"eval_runtime": 308.805,
|
| 745 |
+
"eval_samples_per_second": 0.502,
|
| 746 |
+
"eval_steps_per_second": 0.253,
|
| 747 |
+
"step": 7884
|
| 748 |
+
},
|
| 749 |
+
{
|
| 750 |
+
"epoch": 18.04,
|
| 751 |
+
"learning_rate": 1.2678999999999998e-05,
|
| 752 |
+
"loss": 0.0262,
|
| 753 |
+
"step": 7900
|
| 754 |
+
},
|
| 755 |
+
{
|
| 756 |
+
"epoch": 18.26,
|
| 757 |
+
"learning_rate": 1.2079999999999998e-05,
|
| 758 |
+
"loss": 0.0298,
|
| 759 |
+
"step": 8000
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 18.49,
|
| 763 |
+
"learning_rate": 1.1480999999999997e-05,
|
| 764 |
+
"loss": 0.0345,
|
| 765 |
+
"step": 8100
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 18.72,
|
| 769 |
+
"learning_rate": 1.0882000000000004e-05,
|
| 770 |
+
"loss": 0.0268,
|
| 771 |
+
"step": 8200
|
| 772 |
+
},
|
| 773 |
+
{
|
| 774 |
+
"epoch": 18.95,
|
| 775 |
+
"learning_rate": 1.0283000000000003e-05,
|
| 776 |
+
"loss": 0.0354,
|
| 777 |
+
"step": 8300
|
| 778 |
+
},
|
| 779 |
+
{
|
| 780 |
+
"epoch": 19.0,
|
| 781 |
+
"eval_accuracy_background": NaN,
|
| 782 |
+
"eval_accuracy_crack": 0.4055771695085487,
|
| 783 |
+
"eval_iou_background": 0.0,
|
| 784 |
+
"eval_iou_crack": 0.4013274197279475,
|
| 785 |
+
"eval_loss": 0.061260469257831573,
|
| 786 |
+
"eval_mean_accuracy": 0.4055771695085487,
|
| 787 |
+
"eval_mean_iou": 0.20066370986397375,
|
| 788 |
+
"eval_overall_accuracy": 0.4055771695085487,
|
| 789 |
+
"eval_runtime": 306.2991,
|
| 790 |
+
"eval_samples_per_second": 0.506,
|
| 791 |
+
"eval_steps_per_second": 0.255,
|
| 792 |
+
"step": 8322
|
| 793 |
+
},
|
| 794 |
+
{
|
| 795 |
+
"epoch": 19.18,
|
| 796 |
+
"learning_rate": 9.684000000000002e-06,
|
| 797 |
+
"loss": 0.0241,
|
| 798 |
+
"step": 8400
|
| 799 |
+
},
|
| 800 |
+
{
|
| 801 |
+
"epoch": 19.41,
|
| 802 |
+
"learning_rate": 9.085000000000002e-06,
|
| 803 |
+
"loss": 0.0175,
|
| 804 |
+
"step": 8500
|
| 805 |
+
},
|
| 806 |
+
{
|
| 807 |
+
"epoch": 19.63,
|
| 808 |
+
"learning_rate": 8.486000000000001e-06,
|
| 809 |
+
"loss": 0.0405,
|
| 810 |
+
"step": 8600
|
| 811 |
+
},
|
| 812 |
+
{
|
| 813 |
+
"epoch": 19.86,
|
| 814 |
+
"learning_rate": 7.887000000000001e-06,
|
| 815 |
+
"loss": 0.0315,
|
| 816 |
+
"step": 8700
|
| 817 |
+
},
|
| 818 |
+
{
|
| 819 |
+
"epoch": 20.0,
|
| 820 |
+
"eval_accuracy_background": NaN,
|
| 821 |
+
"eval_accuracy_crack": 0.37516018055667794,
|
| 822 |
+
"eval_iou_background": 0.0,
|
| 823 |
+
"eval_iou_crack": 0.3730927314267345,
|
| 824 |
+
"eval_loss": 0.0605228915810585,
|
| 825 |
+
"eval_mean_accuracy": 0.37516018055667794,
|
| 826 |
+
"eval_mean_iou": 0.18654636571336725,
|
| 827 |
+
"eval_overall_accuracy": 0.37516018055667794,
|
| 828 |
+
"eval_runtime": 306.4581,
|
| 829 |
+
"eval_samples_per_second": 0.506,
|
| 830 |
+
"eval_steps_per_second": 0.255,
|
| 831 |
+
"step": 8760
|
| 832 |
+
},
|
| 833 |
+
{
|
| 834 |
+
"epoch": 20.09,
|
| 835 |
+
"learning_rate": 7.2879999999999995e-06,
|
| 836 |
+
"loss": 0.0316,
|
| 837 |
+
"step": 8800
|
| 838 |
+
},
|
| 839 |
+
{
|
| 840 |
+
"epoch": 20.32,
|
| 841 |
+
"learning_rate": 6.688999999999999e-06,
|
| 842 |
+
"loss": 0.0305,
|
| 843 |
+
"step": 8900
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 20.55,
|
| 847 |
+
"learning_rate": 6.0899999999999984e-06,
|
| 848 |
+
"loss": 0.0232,
|
| 849 |
+
"step": 9000
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 20.78,
|
| 853 |
+
"learning_rate": 5.490999999999998e-06,
|
| 854 |
+
"loss": 0.0343,
|
| 855 |
+
"step": 9100
|
| 856 |
+
},
|
| 857 |
+
{
|
| 858 |
+
"epoch": 21.0,
|
| 859 |
+
"eval_accuracy_background": NaN,
|
| 860 |
+
"eval_accuracy_crack": 0.40193775181537966,
|
| 861 |
+
"eval_iou_background": 0.0,
|
| 862 |
+
"eval_iou_crack": 0.39810018752286863,
|
| 863 |
+
"eval_loss": 0.06526383757591248,
|
| 864 |
+
"eval_mean_accuracy": 0.40193775181537966,
|
| 865 |
+
"eval_mean_iou": 0.19905009376143432,
|
| 866 |
+
"eval_overall_accuracy": 0.40193775181537966,
|
| 867 |
+
"eval_runtime": 308.2848,
|
| 868 |
+
"eval_samples_per_second": 0.503,
|
| 869 |
+
"eval_steps_per_second": 0.253,
|
| 870 |
+
"step": 9198
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 21.0,
|
| 874 |
+
"learning_rate": 4.891999999999997e-06,
|
| 875 |
+
"loss": 0.0315,
|
| 876 |
+
"step": 9200
|
| 877 |
+
},
|
| 878 |
+
{
|
| 879 |
+
"epoch": 21.23,
|
| 880 |
+
"learning_rate": 4.292999999999997e-06,
|
| 881 |
+
"loss": 0.0274,
|
| 882 |
+
"step": 9300
|
| 883 |
+
},
|
| 884 |
+
{
|
| 885 |
+
"epoch": 21.46,
|
| 886 |
+
"learning_rate": 3.694000000000003e-06,
|
| 887 |
+
"loss": 0.0257,
|
| 888 |
+
"step": 9400
|
| 889 |
+
},
|
| 890 |
+
{
|
| 891 |
+
"epoch": 21.69,
|
| 892 |
+
"learning_rate": 3.0950000000000026e-06,
|
| 893 |
+
"loss": 0.0293,
|
| 894 |
+
"step": 9500
|
| 895 |
+
},
|
| 896 |
+
{
|
| 897 |
+
"epoch": 21.92,
|
| 898 |
+
"learning_rate": 2.496000000000002e-06,
|
| 899 |
+
"loss": 0.0327,
|
| 900 |
+
"step": 9600
|
| 901 |
+
},
|
| 902 |
+
{
|
| 903 |
+
"epoch": 22.0,
|
| 904 |
+
"eval_accuracy_background": NaN,
|
| 905 |
+
"eval_accuracy_crack": 0.3924438069290357,
|
| 906 |
+
"eval_iou_background": 0.0,
|
| 907 |
+
"eval_iou_crack": 0.38908561282725923,
|
| 908 |
+
"eval_loss": 0.06604981422424316,
|
| 909 |
+
"eval_mean_accuracy": 0.3924438069290357,
|
| 910 |
+
"eval_mean_iou": 0.19454280641362962,
|
| 911 |
+
"eval_overall_accuracy": 0.3924438069290357,
|
| 912 |
+
"eval_runtime": 307.3272,
|
| 913 |
+
"eval_samples_per_second": 0.504,
|
| 914 |
+
"eval_steps_per_second": 0.254,
|
| 915 |
+
"step": 9636
|
| 916 |
+
},
|
| 917 |
+
{
|
| 918 |
+
"epoch": 22.15,
|
| 919 |
+
"learning_rate": 1.8970000000000013e-06,
|
| 920 |
+
"loss": 0.0282,
|
| 921 |
+
"step": 9700
|
| 922 |
+
},
|
| 923 |
+
{
|
| 924 |
+
"epoch": 22.37,
|
| 925 |
+
"learning_rate": 1.298000000000001e-06,
|
| 926 |
+
"loss": 0.0296,
|
| 927 |
+
"step": 9800
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 22.6,
|
| 931 |
+
"learning_rate": 6.990000000000005e-07,
|
| 932 |
+
"loss": 0.0277,
|
| 933 |
+
"step": 9900
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 22.83,
|
| 937 |
+
"learning_rate": 1e-07,
|
| 938 |
+
"loss": 0.0252,
|
| 939 |
+
"step": 10000
|
| 940 |
+
},
|
| 941 |
+
{
|
| 942 |
+
"epoch": 22.83,
|
| 943 |
+
"eval_accuracy_background": NaN,
|
| 944 |
+
"eval_accuracy_crack": 0.39152312949515705,
|
| 945 |
+
"eval_iou_background": 0.0,
|
| 946 |
+
"eval_iou_crack": 0.3886899926792824,
|
| 947 |
+
"eval_loss": 0.06628751754760742,
|
| 948 |
+
"eval_mean_accuracy": 0.39152312949515705,
|
| 949 |
+
"eval_mean_iou": 0.1943449963396412,
|
| 950 |
+
"eval_overall_accuracy": 0.39152312949515705,
|
| 951 |
+
"eval_runtime": 306.5247,
|
| 952 |
+
"eval_samples_per_second": 0.506,
|
| 953 |
+
"eval_steps_per_second": 0.254,
|
| 954 |
+
"step": 10000
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 22.83,
|
| 958 |
+
"step": 10000,
|
| 959 |
+
"total_flos": 7.98337466892288e+18,
|
| 960 |
+
"train_loss": 0.04071027485132218,
|
| 961 |
+
"train_runtime": 169673.5427,
|
| 962 |
+
"train_samples_per_second": 0.118,
|
| 963 |
+
"train_steps_per_second": 0.059
|
| 964 |
+
}
|
| 965 |
+
],
|
| 966 |
+
"logging_steps": 100,
|
| 967 |
+
"max_steps": 10000,
|
| 968 |
+
"num_train_epochs": 23,
|
| 969 |
+
"save_steps": 500,
|
| 970 |
+
"total_flos": 7.98337466892288e+18,
|
| 971 |
+
"trial_name": null,
|
| 972 |
+
"trial_params": null
|
| 973 |
+
}
|