End of training
Browse files- README.md +3 -1
- all_results.json +18 -0
- eval_results.json +14 -0
- runs/Jul09_12-57-16_gpu-1-130.local/events.out.tfevents.1720535244.gpu-1-130.local.100046.1 +3 -0
- train_results.json +7 -0
- trainer_state.json +1740 -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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tags:
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- generated_from_trainer
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model-index:
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- name: segformer-finetuned-biofilm_MRCNNv1_train
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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_train
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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: 0.0003
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| 19 |
- Mean Iou: 0.5000
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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_train
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# segformer-finetuned-biofilm_MRCNNv1_train
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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_train dataset.
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| 19 |
It achieves the following results on the evaluation set:
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| 20 |
- Loss: 0.0003
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| 21 |
- Mean Iou: 0.5000
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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": 73.53,
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| 3 |
+
"eval_accuracy_background": 0.9999881362854136,
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| 4 |
+
"eval_accuracy_biofilm": NaN,
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| 5 |
+
"eval_iou_background": 0.9999881362854136,
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| 6 |
+
"eval_iou_biofilm": 0.0,
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| 7 |
+
"eval_loss": 0.0002653381379786879,
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| 8 |
+
"eval_mean_accuracy": 0.9999881362854136,
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| 9 |
+
"eval_mean_iou": 0.4999940681427068,
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| 10 |
+
"eval_overall_accuracy": 0.9999881362854136,
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| 11 |
+
"eval_runtime": 15.5991,
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| 12 |
+
"eval_samples_per_second": 12.244,
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| 13 |
+
"eval_steps_per_second": 1.539,
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| 14 |
+
"train_loss": 0.0048076235841494055,
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| 15 |
+
"train_runtime": 8949.5486,
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| 16 |
+
"train_samples_per_second": 8.939,
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| 17 |
+
"train_steps_per_second": 1.117
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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": 73.53,
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| 3 |
+
"eval_accuracy_background": 0.9999881362854136,
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| 4 |
+
"eval_accuracy_biofilm": NaN,
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| 5 |
+
"eval_iou_background": 0.9999881362854136,
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| 6 |
+
"eval_iou_biofilm": 0.0,
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| 7 |
+
"eval_loss": 0.0002653381379786879,
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| 8 |
+
"eval_mean_accuracy": 0.9999881362854136,
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| 9 |
+
"eval_mean_iou": 0.4999940681427068,
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| 10 |
+
"eval_overall_accuracy": 0.9999881362854136,
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| 11 |
+
"eval_runtime": 15.5991,
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| 12 |
+
"eval_samples_per_second": 12.244,
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| 13 |
+
"eval_steps_per_second": 1.539
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| 14 |
+
}
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runs/Jul09_12-57-16_gpu-1-130.local/events.out.tfevents.1720535244.gpu-1-130.local.100046.1
ADDED
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+
version https://git-lfs.github.com/spec/v1
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+
oid sha256:bccd94aad1d991b98540e0c84fa42b2bb3e4d56d3cd2247e3cb30b8c376e5464
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+
size 764
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train_results.json
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+
{
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+
"epoch": 73.53,
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+
"train_loss": 0.0048076235841494055,
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| 4 |
+
"train_runtime": 8949.5486,
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| 5 |
+
"train_samples_per_second": 8.939,
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| 6 |
+
"train_steps_per_second": 1.117
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| 7 |
+
}
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trainer_state.json
ADDED
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@@ -0,0 +1,1740 @@
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