End of training
Browse files- README.md +3 -1
- all_results.json +18 -0
- eval_results.json +14 -0
- runs/Jul10_10-42-15_gpu-1-130.local/events.out.tfevents.1720619145.gpu-1-130.local.221659.1 +3 -0
- train_results.json +7 -0
- trainer_state.json +990 -0
README.md
CHANGED
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@@ -2,6 +2,8 @@
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license: other
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| 3 |
base_model: nvidia/mit-b0
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tags:
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- generated_from_trainer
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model-index:
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- name: segformer-finetuned-biofilm_MRCNNv1_concat
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@@ -13,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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| 14 |
# segformer-finetuned-biofilm_MRCNNv1_concat
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| 16 |
-
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on
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| 17 |
It achieves the following results on the evaluation set:
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| 18 |
- Loss: 0.0530
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| 19 |
- Mean Iou: 0.8677
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| 2 |
license: other
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| 3 |
base_model: nvidia/mit-b0
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| 4 |
tags:
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+
- image-segmentation
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| 6 |
+
- vision
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| 7 |
- generated_from_trainer
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| 8 |
model-index:
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- name: segformer-finetuned-biofilm_MRCNNv1_concat
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# segformer-finetuned-biofilm_MRCNNv1_concat
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+
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the heroza/biofilm_MRCNNv1_concat dataset.
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| 19 |
It achieves the following results on the evaluation set:
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| 20 |
- Loss: 0.0530
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| 21 |
- Mean Iou: 0.8677
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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": 23.09,
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| 3 |
+
"eval_accuracy_background": 0.9820080627772998,
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| 4 |
+
"eval_accuracy_biofilm": 0.973973103250941,
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| 5 |
+
"eval_iou_background": 0.9804257765494778,
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| 6 |
+
"eval_iou_biofilm": 0.7549272284294235,
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| 7 |
+
"eval_loss": 0.05298486724495888,
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| 8 |
+
"eval_mean_accuracy": 0.9779905830141205,
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| 9 |
+
"eval_mean_iou": 0.8676765024894506,
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| 10 |
+
"eval_overall_accuracy": 0.9815389213004198,
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| 11 |
+
"eval_runtime": 46.249,
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| 12 |
+
"eval_samples_per_second": 13.233,
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| 13 |
+
"eval_steps_per_second": 1.665,
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| 14 |
+
"train_loss": 0.03242814379930496,
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| 15 |
+
"train_runtime": 14425.5946,
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| 16 |
+
"train_samples_per_second": 5.546,
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| 17 |
+
"train_steps_per_second": 0.693
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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": 23.09,
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| 3 |
+
"eval_accuracy_background": 0.9820080627772998,
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| 4 |
+
"eval_accuracy_biofilm": 0.973973103250941,
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| 5 |
+
"eval_iou_background": 0.9804257765494778,
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| 6 |
+
"eval_iou_biofilm": 0.7549272284294235,
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| 7 |
+
"eval_loss": 0.05298486724495888,
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| 8 |
+
"eval_mean_accuracy": 0.9779905830141205,
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| 9 |
+
"eval_mean_iou": 0.8676765024894506,
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| 10 |
+
"eval_overall_accuracy": 0.9815389213004198,
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| 11 |
+
"eval_runtime": 46.249,
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| 12 |
+
"eval_samples_per_second": 13.233,
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| 13 |
+
"eval_steps_per_second": 1.665
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| 14 |
+
}
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runs/Jul10_10-42-15_gpu-1-130.local/events.out.tfevents.1720619145.gpu-1-130.local.221659.1
ADDED
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:3c05c0f880f45b17f04462cb0d845bba8e6a22d83f6688166b658ea83c699847
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+
size 764
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train_results.json
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{
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+
"epoch": 23.09,
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| 3 |
+
"train_loss": 0.03242814379930496,
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| 4 |
+
"train_runtime": 14425.5946,
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| 5 |
+
"train_samples_per_second": 5.546,
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| 6 |
+
"train_steps_per_second": 0.693
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| 7 |
+
}
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trainer_state.json
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@@ -0,0 +1,990 @@
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