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 +1513 -0
README.md
CHANGED
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@@ -2,6 +2,8 @@
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license: other
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base_model: nvidia/mit-b5
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tags:
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- generated_from_trainer
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model-index:
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- name: ecc_segformer_main
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@@ -13,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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# ecc_segformer_main
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-
This model is a fine-tuned version of [nvidia/mit-b5](https://huggingface.co/nvidia/mit-b5) on
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It achieves the following results on the evaluation set:
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| 18 |
- Loss: 0.1918
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| 19 |
- Mean Iou: 0.2329
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license: other
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base_model: nvidia/mit-b5
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tags:
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+
- image-segmentation
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+
- vision
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- generated_from_trainer
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model-index:
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- name: ecc_segformer_main
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# ecc_segformer_main
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+
This model is a fine-tuned version of [nvidia/mit-b5](https://huggingface.co/nvidia/mit-b5) on the rishitunu/ecc_crackdetector_dataset_main dataset.
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| 19 |
It achieves the following results on the evaluation set:
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- Loss: 0.1918
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| 21 |
- Mean Iou: 0.2329
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all_results.json
ADDED
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@@ -0,0 +1,18 @@
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{
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"epoch": 58.14,
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| 3 |
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"eval_accuracy_background": NaN,
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| 4 |
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"eval_accuracy_crack": 0.4657814273470617,
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| 5 |
+
"eval_iou_background": 0.0,
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| 6 |
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"eval_iou_crack": 0.4657814273470617,
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| 7 |
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"eval_loss": 0.19184677302837372,
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| 8 |
+
"eval_mean_accuracy": 0.4657814273470617,
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| 9 |
+
"eval_mean_iou": 0.23289071367353084,
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| 10 |
+
"eval_overall_accuracy": 0.4657814273470617,
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| 11 |
+
"eval_runtime": 154.8747,
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| 12 |
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"eval_samples_per_second": 0.394,
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| 13 |
+
"eval_steps_per_second": 0.2,
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| 14 |
+
"train_loss": 0.032576545763015746,
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| 15 |
+
"train_runtime": 106622.8006,
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| 16 |
+
"train_samples_per_second": 0.188,
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| 17 |
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"train_steps_per_second": 0.094
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| 18 |
+
}
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eval_results.json
ADDED
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@@ -0,0 +1,14 @@
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{
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"epoch": 58.14,
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"eval_accuracy_background": NaN,
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"eval_accuracy_crack": 0.4657814273470617,
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+
"eval_iou_background": 0.0,
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+
"eval_iou_crack": 0.4657814273470617,
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+
"eval_loss": 0.19184677302837372,
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| 8 |
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"eval_mean_accuracy": 0.4657814273470617,
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| 9 |
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"eval_mean_iou": 0.23289071367353084,
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+
"eval_overall_accuracy": 0.4657814273470617,
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| 11 |
+
"eval_runtime": 154.8747,
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| 12 |
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"eval_samples_per_second": 0.394,
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"eval_steps_per_second": 0.2
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+
}
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train_results.json
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{
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"epoch": 58.14,
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"train_loss": 0.032576545763015746,
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"train_runtime": 106622.8006,
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"train_samples_per_second": 0.188,
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"train_steps_per_second": 0.094
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}
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trainer_state.json
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@@ -0,0 +1,1513 @@
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|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 58.13953488372093,
|
| 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": 0.58,
|
| 13 |
+
"learning_rate": 5.9401e-05,
|
| 14 |
+
"loss": 0.1069,
|
| 15 |
+
"step": 100
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 1.0,
|
| 19 |
+
"eval_accuracy_background": NaN,
|
| 20 |
+
"eval_accuracy_crack": 0.3320487132565843,
|
| 21 |
+
"eval_iou_background": 0.0,
|
| 22 |
+
"eval_iou_crack": 0.3320487132565843,
|
| 23 |
+
"eval_loss": 0.1376139372587204,
|
| 24 |
+
"eval_mean_accuracy": 0.3320487132565843,
|
| 25 |
+
"eval_mean_iou": 0.16602435662829215,
|
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