End of training
Browse files- README.md +3 -1
- all_results.json +18 -0
- eval_results.json +14 -0
- runs/Jul11_22-31-50_gpu-1-130.local/events.out.tfevents.1720748196.gpu-1-130.local.200898.1 +3 -0
- train_results.json +7 -0
- trainer_state.json +1620 -0
README.md
CHANGED
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@@ -2,6 +2,8 @@
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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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| 5 |
- generated_from_trainer
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| 6 |
model-index:
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| 7 |
- name: segformer-finetuned-biofilm_MRCNNv1_train80_val20
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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_train80_val20
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| 15 |
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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: 0.0785
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| 19 |
- Mean Iou: 0.8728
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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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| 5 |
+
- 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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| 9 |
- name: segformer-finetuned-biofilm_MRCNNv1_train80_val20
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| 15 |
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| 16 |
# segformer-finetuned-biofilm_MRCNNv1_train80_val20
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| 17 |
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| 18 |
+
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the heroza/biofilm_MRCNNv1_train80_val20 dataset.
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| 19 |
It achieves the following results on the evaluation set:
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| 20 |
- Loss: 0.0785
|
| 21 |
- Mean Iou: 0.8728
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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": 50.0,
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| 3 |
+
"eval_accuracy_background": 0.978784317013419,
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| 4 |
+
"eval_accuracy_biofilm": 0.9603030144248816,
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| 5 |
+
"eval_iou_background": 0.9754554634753542,
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| 6 |
+
"eval_iou_biofilm": 0.7702204262549363,
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| 7 |
+
"eval_loss": 0.07854125648736954,
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| 8 |
+
"eval_mean_accuracy": 0.9695436657191503,
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| 9 |
+
"eval_mean_iou": 0.8728379448651452,
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| 10 |
+
"eval_overall_accuracy": 0.9773213119642832,
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| 11 |
+
"eval_runtime": 73.8981,
|
| 12 |
+
"eval_samples_per_second": 7.592,
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| 13 |
+
"eval_steps_per_second": 0.961,
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| 14 |
+
"train_loss": 0.03351297795772552,
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| 15 |
+
"train_runtime": 14600.1261,
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| 16 |
+
"train_samples_per_second": 7.671,
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| 17 |
+
"train_steps_per_second": 0.959
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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": 50.0,
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| 3 |
+
"eval_accuracy_background": 0.978784317013419,
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| 4 |
+
"eval_accuracy_biofilm": 0.9603030144248816,
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| 5 |
+
"eval_iou_background": 0.9754554634753542,
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| 6 |
+
"eval_iou_biofilm": 0.7702204262549363,
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| 7 |
+
"eval_loss": 0.07854125648736954,
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| 8 |
+
"eval_mean_accuracy": 0.9695436657191503,
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| 9 |
+
"eval_mean_iou": 0.8728379448651452,
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| 10 |
+
"eval_overall_accuracy": 0.9773213119642832,
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| 11 |
+
"eval_runtime": 73.8981,
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| 12 |
+
"eval_samples_per_second": 7.592,
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| 13 |
+
"eval_steps_per_second": 0.961
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| 14 |
+
}
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runs/Jul11_22-31-50_gpu-1-130.local/events.out.tfevents.1720748196.gpu-1-130.local.200898.1
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:a49c89ef54e53dee70a5a7432567f7dd59bc53abf50ac3528f42c52bf7c6860b
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+
size 764
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train_results.json
ADDED
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@@ -0,0 +1,7 @@
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{
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+
"epoch": 50.0,
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| 3 |
+
"train_loss": 0.03351297795772552,
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| 4 |
+
"train_runtime": 14600.1261,
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| 5 |
+
"train_samples_per_second": 7.671,
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| 6 |
+
"train_steps_per_second": 0.959
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| 7 |
+
}
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trainer_state.json
ADDED
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@@ -0,0 +1,1620 @@
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