Commit
•
6ed6311
1
Parent(s):
227aebb
End of training
Browse files- README.md +3 -1
- all_results.json +46 -0
- eval_results.json +42 -0
- train_results.json +7 -0
- trainer_state.json +622 -0
README.md
CHANGED
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@@ -2,6 +2,8 @@
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license: other
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base_model: nvidia/mit-b2
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tags:
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- generated_from_trainer
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model-index:
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- name: model2
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@@ -13,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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# model2
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-
This model is a fine-tuned version of [nvidia/mit-b2](https://huggingface.co/nvidia/mit-b2) on
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It achieves the following results on the evaluation set:
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- Loss: 0.2318
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- Mean Iou: 0.2504
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license: other
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base_model: nvidia/mit-b2
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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: model2
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# model2
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+
This model is a fine-tuned version of [nvidia/mit-b2](https://huggingface.co/nvidia/mit-b2) on the giuseppemartino/isaid_sam_predicted dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2318
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- Mean Iou: 0.2504
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all_results.json
ADDED
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@@ -0,0 +1,46 @@
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{
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"epoch": 11.9,
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"eval_accuracy_background": NaN,
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"eval_accuracy_baseball-diamond": NaN,
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"eval_accuracy_basketball-court": 0.0,
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"eval_accuracy_bridge": 0.0,
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"eval_accuracy_ground-track-field": 0.6010095281306715,
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"eval_accuracy_harbor": 0.45754816853694685,
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"eval_accuracy_helicopter": NaN,
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"eval_accuracy_large-vehicle": 0.35943262553888516,
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"eval_accuracy_plane": NaN,
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"eval_accuracy_roundabout": 0.0,
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"eval_accuracy_ship": 0.6329862515163769,
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"eval_accuracy_small-vehicle": 0.4643513565412998,
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"eval_accuracy_soccer-ball-field": 0.7776448061273337,
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"eval_accuracy_storage-tank": 0.0,
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"eval_accuracy_swimming-pool": NaN,
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"eval_accuracy_tennis-court": 0.02797752808988764,
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"eval_iou_background": 0.0,
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"eval_iou_baseball-diamond": NaN,
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"eval_iou_basketball-court": 0.0,
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"eval_iou_bridge": 0.0,
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"eval_iou_ground-track-field": 0.5492381051103971,
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"eval_iou_harbor": 0.36109950705990473,
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"eval_iou_helicopter": NaN,
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"eval_iou_large-vehicle": 0.3508165367073709,
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"eval_iou_plane": NaN,
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"eval_iou_roundabout": 0.0,
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"eval_iou_ship": 0.5194110327664869,
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"eval_iou_small-vehicle": 0.436754422933026,
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"eval_iou_soccer-ball-field": 0.7591530815824002,
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"eval_iou_storage-tank": 0.0,
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"eval_iou_swimming-pool": NaN,
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"eval_iou_tennis-court": 0.02797752808988764,
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"eval_loss": 0.23183493316173553,
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"eval_mean_accuracy": 0.30190456949830924,
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"eval_mean_iou": 0.2503708511874561,
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"eval_overall_accuracy": 0.4541896188398832,
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"eval_runtime": 25.0255,
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"eval_samples_per_second": 0.679,
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"eval_steps_per_second": 0.12,
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"train_loss": 0.19855947565411988,
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"train_runtime": 5414.4035,
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"train_samples_per_second": 1.987,
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"train_steps_per_second": 0.248
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}
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eval_results.json
ADDED
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@@ -0,0 +1,42 @@
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{
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"epoch": 11.9,
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"eval_accuracy_background": NaN,
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"eval_accuracy_baseball-diamond": NaN,
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"eval_accuracy_basketball-court": 0.0,
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"eval_accuracy_bridge": 0.0,
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"eval_accuracy_ground-track-field": 0.6010095281306715,
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"eval_accuracy_harbor": 0.45754816853694685,
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"eval_accuracy_helicopter": NaN,
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"eval_accuracy_large-vehicle": 0.35943262553888516,
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"eval_accuracy_plane": NaN,
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"eval_accuracy_roundabout": 0.0,
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"eval_accuracy_ship": 0.6329862515163769,
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"eval_accuracy_small-vehicle": 0.4643513565412998,
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"eval_accuracy_soccer-ball-field": 0.7776448061273337,
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"eval_accuracy_storage-tank": 0.0,
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"eval_accuracy_swimming-pool": NaN,
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"eval_accuracy_tennis-court": 0.02797752808988764,
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"eval_iou_background": 0.0,
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"eval_iou_baseball-diamond": NaN,
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"eval_iou_basketball-court": 0.0,
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"eval_iou_bridge": 0.0,
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"eval_iou_ground-track-field": 0.5492381051103971,
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"eval_iou_harbor": 0.36109950705990473,
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+
"eval_iou_helicopter": NaN,
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"eval_iou_large-vehicle": 0.3508165367073709,
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"eval_iou_plane": NaN,
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"eval_iou_roundabout": 0.0,
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"eval_iou_ship": 0.5194110327664869,
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"eval_iou_small-vehicle": 0.436754422933026,
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"eval_iou_soccer-ball-field": 0.7591530815824002,
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"eval_iou_storage-tank": 0.0,
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"eval_iou_swimming-pool": NaN,
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"eval_iou_tennis-court": 0.02797752808988764,
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"eval_loss": 0.23183493316173553,
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"eval_mean_accuracy": 0.30190456949830924,
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"eval_mean_iou": 0.2503708511874561,
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"eval_overall_accuracy": 0.4541896188398832,
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"eval_runtime": 25.0255,
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"eval_samples_per_second": 0.679,
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"eval_steps_per_second": 0.12
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}
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train_results.json
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{
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"epoch": 11.9,
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"train_loss": 0.19855947565411988,
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"train_runtime": 5414.4035,
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"train_samples_per_second": 1.987,
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"train_steps_per_second": 0.248
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}
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trainer_state.json
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