End of training
Browse files- README.md +9 -7
- all_results.json +14 -14
- eval_results.json +9 -9
- train_results.json +5 -5
- trainer_state.json +2811 -382
README.md
CHANGED
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@@ -3,6 +3,8 @@ library_name: transformers
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license: other
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base_model: nvidia/mit-b0
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tags:
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- generated_from_trainer
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datasets:
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- generator
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@@ -16,16 +18,16 @@ should probably proofread and complete it, then remove this comment. -->
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# autocrop-bilder
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-
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the
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It achieves the following results on the evaluation set:
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| 21 |
-
- Loss: 0.
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| 22 |
-
- Mean Iou: 0.
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| 23 |
-
- Mean Accuracy: 0.
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| 24 |
-
- Overall Accuracy: 0.
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- Accuracy Background: nan
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- Accuracy Crop: 0.
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- Iou Background: 0.0
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-
- Iou Crop: 0.
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## Model description
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| 31 |
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license: other
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base_model: nvidia/mit-b0
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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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datasets:
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- generator
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| 18 |
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| 19 |
# autocrop-bilder
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| 20 |
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| 21 |
+
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the /mnt/disk1/autocrop-data/datasets/bilder/ dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 0.0315
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| 24 |
+
- Mean Iou: 0.4959
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| 25 |
+
- Mean Accuracy: 0.9918
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| 26 |
+
- Overall Accuracy: 0.9918
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| 27 |
- Accuracy Background: nan
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| 28 |
+
- Accuracy Crop: 0.9918
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| 29 |
- Iou Background: 0.0
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| 30 |
+
- Iou Crop: 0.9918
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## Model description
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| 33 |
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all_results.json
CHANGED
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@@ -1,19 +1,19 @@
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{
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"epoch": 31.0,
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"eval_accuracy_background": NaN,
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| 4 |
-
"eval_accuracy_crop": 0.
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| 5 |
"eval_iou_background": 0.0,
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| 6 |
-
"eval_iou_crop": 0.
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| 7 |
-
"eval_loss": 0.
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| 8 |
-
"eval_mean_accuracy": 0.
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| 9 |
-
"eval_mean_iou": 0.
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| 10 |
-
"eval_overall_accuracy": 0.
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| 11 |
-
"eval_runtime":
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| 12 |
-
"eval_samples_per_second":
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| 13 |
-
"eval_steps_per_second":
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-
"total_flos":
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| 15 |
-
"train_loss": 0.
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-
"train_runtime":
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| 17 |
-
"train_samples_per_second":
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-
"train_steps_per_second":
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}
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{
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"epoch": 31.0,
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"eval_accuracy_background": NaN,
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+
"eval_accuracy_crop": 0.9917723687601736,
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| 5 |
"eval_iou_background": 0.0,
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| 6 |
+
"eval_iou_crop": 0.9917723687601736,
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+
"eval_loss": 0.031547412276268005,
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| 8 |
+
"eval_mean_accuracy": 0.9917723687601736,
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| 9 |
+
"eval_mean_iou": 0.4958861843800868,
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| 10 |
+
"eval_overall_accuracy": 0.9917723687601736,
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| 11 |
+
"eval_runtime": 3.0359,
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| 12 |
+
"eval_samples_per_second": 52.043,
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| 13 |
+
"eval_steps_per_second": 6.588,
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| 14 |
+
"total_flos": 4.857697593238487e+17,
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| 15 |
+
"train_loss": 0.07301220383220416,
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+
"train_runtime": 471.8683,
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| 17 |
+
"train_samples_per_second": 94.73,
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+
"train_steps_per_second": 11.868
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}
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eval_results.json
CHANGED
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@@ -1,14 +1,14 @@
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{
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"epoch": 31.0,
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"eval_accuracy_background": NaN,
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-
"eval_accuracy_crop": 0.
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"eval_iou_background": 0.0,
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-
"eval_iou_crop": 0.
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-
"eval_loss": 0.
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-
"eval_mean_accuracy": 0.
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-
"eval_mean_iou": 0.
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-
"eval_overall_accuracy": 0.
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-
"eval_runtime":
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-
"eval_samples_per_second":
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-
"eval_steps_per_second":
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}
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{
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"epoch": 31.0,
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"eval_accuracy_background": NaN,
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+
"eval_accuracy_crop": 0.9917723687601736,
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"eval_iou_background": 0.0,
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+
"eval_iou_crop": 0.9917723687601736,
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| 7 |
+
"eval_loss": 0.031547412276268005,
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| 8 |
+
"eval_mean_accuracy": 0.9917723687601736,
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| 9 |
+
"eval_mean_iou": 0.4958861843800868,
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| 10 |
+
"eval_overall_accuracy": 0.9917723687601736,
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| 11 |
+
"eval_runtime": 3.0359,
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| 12 |
+
"eval_samples_per_second": 52.043,
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"eval_steps_per_second": 6.588
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}
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train_results.json
CHANGED
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@@ -1,8 +1,8 @@
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{
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"epoch": 31.0,
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-
"total_flos":
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-
"train_loss": 0.
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-
"train_runtime":
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-
"train_samples_per_second":
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-
"train_steps_per_second":
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}
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{
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"epoch": 31.0,
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+
"total_flos": 4.857697593238487e+17,
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"train_loss": 0.07301220383220416,
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+
"train_runtime": 471.8683,
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| 6 |
+
"train_samples_per_second": 94.73,
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"train_steps_per_second": 11.868
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}
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trainer_state.json
CHANGED
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@@ -1,491 +1,2920 @@
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{
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-
"best_global_step":
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-
"best_metric": 0.
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-
"best_model_checkpoint": "trainer_output/checkpoint-
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"epoch": 31.0,
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"eval_steps": 500,
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-
"global_step":
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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"epoch": 1.0,
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"eval_accuracy_background": NaN,
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-
"eval_accuracy_crop": 0.
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| 16 |
"eval_iou_background": 0.0,
|
| 17 |
-
"eval_iou_crop": 0.
|
| 18 |
-
"eval_loss": 0.
|
| 19 |
-
"eval_mean_accuracy": 0.
|
| 20 |
-
"eval_mean_iou": 0.
|
| 21 |
-
"eval_overall_accuracy": 0.
|
| 22 |
-
"eval_runtime":
|
| 23 |
-
"eval_samples_per_second":
|
| 24 |
-
"eval_steps_per_second":
|
| 25 |
-
"step":
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| 26 |
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| 27 |
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| 28 |
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