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 +1765 -0
README.md
CHANGED
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@@ -2,6 +2,8 @@
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| 2 |
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_segformerv1
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@@ -13,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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# ecc_segformerv1
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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: 0.1935
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| 19 |
- Mean Iou: 0.1871
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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_segformerv1
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# ecc_segformerv1
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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.
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| 19 |
It achieves the following results on the evaluation set:
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- Loss: 0.1935
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| 21 |
- Mean Iou: 0.1871
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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": 75.19,
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| 3 |
+
"eval_accuracy_background": NaN,
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| 4 |
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"eval_accuracy_crack": 0.3741381544242178,
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| 5 |
+
"eval_iou_background": 0.0,
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| 6 |
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"eval_iou_crack": 0.3741381544242178,
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| 7 |
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"eval_loss": 0.19346429407596588,
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| 8 |
+
"eval_mean_accuracy": 0.3741381544242178,
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| 9 |
+
"eval_mean_iou": 0.1870690772121089,
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| 10 |
+
"eval_overall_accuracy": 0.3741381544242178,
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| 11 |
+
"eval_runtime": 139.9858,
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| 12 |
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"eval_samples_per_second": 0.336,
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| 13 |
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"eval_steps_per_second": 0.336,
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| 14 |
+
"train_loss": 0.03466393924951553,
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| 15 |
+
"train_runtime": 107088.2248,
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| 16 |
+
"train_samples_per_second": 0.187,
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"train_steps_per_second": 0.093
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}
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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": 75.19,
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"eval_accuracy_background": NaN,
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"eval_accuracy_crack": 0.3741381544242178,
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+
"eval_iou_background": 0.0,
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"eval_iou_crack": 0.3741381544242178,
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+
"eval_loss": 0.19346429407596588,
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| 8 |
+
"eval_mean_accuracy": 0.3741381544242178,
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"eval_mean_iou": 0.1870690772121089,
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| 10 |
+
"eval_overall_accuracy": 0.3741381544242178,
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+
"eval_runtime": 139.9858,
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| 12 |
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"eval_samples_per_second": 0.336,
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"eval_steps_per_second": 0.336
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+
}
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train_results.json
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{
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"epoch": 75.19,
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"train_loss": 0.03466393924951553,
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"train_runtime": 107088.2248,
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"train_samples_per_second": 0.187,
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"train_steps_per_second": 0.093
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}
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trainer_state.json
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@@ -0,0 +1,1765 @@
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