Commit
•
ec1f85b
1
Parent(s):
2d0bd9e
End of training
Browse files- README.md +3 -1
- all_results.json +33 -0
- eval_results.json +28 -0
- runs/Jul14_13-42-10_25399931ec8c/events.out.tfevents.1720970494.25399931ec8c.2180.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +774 -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-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-rwymarkings-3k-steps
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@@ -13,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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# segformer-finetuned-rwymarkings-3k-steps
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-
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on
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It achieves the following results on the evaluation set:
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- Loss: 0.0182
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- Mean Iou: 0.0441
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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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model-index:
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- name: segformer-finetuned-rwymarkings-3k-steps
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# segformer-finetuned-rwymarkings-3k-steps
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+
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the Spatiallysaying/rwymarkings dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0182
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- Mean Iou: 0.0441
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all_results.json
ADDED
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@@ -0,0 +1,33 @@
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{
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"epoch": 17.341040462427745,
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+
"eval_accuracy__backgound_": NaN,
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+
"eval_accuracy_aim": 0.220281446734971,
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+
"eval_accuracy_arrow": 0.0,
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+
"eval_accuracy_chevron": 0.0,
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+
"eval_accuracy_desig": 0.0,
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+
"eval_accuracy_disp": 0.0,
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+
"eval_accuracy_rwythr": 0.09711051534107834,
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+
"eval_accuracy_tdz": 0.09081906093440521,
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+
"eval_accuracy_thrbar": 0.0,
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+
"eval_iou__backgound_": 0.0,
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+
"eval_iou_aim": 0.2189167637858063,
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+
"eval_iou_arrow": 0.0,
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+
"eval_iou_chevron": 0.0,
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+
"eval_iou_desig": 0.0,
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+
"eval_iou_disp": 0.0,
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+
"eval_iou_rwythr": 0.09582598471487361,
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+
"eval_iou_tdz": 0.08179004249514715,
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+
"eval_iou_thrbar": 0.0,
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+
"eval_loss": 0.01818845421075821,
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+
"eval_mean_accuracy": 0.05102637787630682,
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+
"eval_mean_iou": 0.044059198999536336,
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+
"eval_overall_accuracy": 0.08002687469672651,
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+
"eval_runtime": 68.5586,
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+
"eval_samples_per_second": 1.269,
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+
"eval_steps_per_second": 0.642,
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"total_flos": 1.05218665611264e+17,
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+
"train_loss": 0.11730531366666158,
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+
"train_runtime": 5867.3784,
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"train_samples_per_second": 1.023,
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"train_steps_per_second": 0.511
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+
}
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eval_results.json
ADDED
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@@ -0,0 +1,28 @@
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{
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"epoch": 17.341040462427745,
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+
"eval_accuracy__backgound_": NaN,
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+
"eval_accuracy_aim": 0.220281446734971,
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+
"eval_accuracy_arrow": 0.0,
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+
"eval_accuracy_chevron": 0.0,
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+
"eval_accuracy_desig": 0.0,
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+
"eval_accuracy_disp": 0.0,
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+
"eval_accuracy_rwythr": 0.09711051534107834,
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+
"eval_accuracy_tdz": 0.09081906093440521,
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+
"eval_accuracy_thrbar": 0.0,
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+
"eval_iou__backgound_": 0.0,
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"eval_iou_aim": 0.2189167637858063,
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+
"eval_iou_arrow": 0.0,
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+
"eval_iou_chevron": 0.0,
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+
"eval_iou_desig": 0.0,
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+
"eval_iou_disp": 0.0,
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+
"eval_iou_rwythr": 0.09582598471487361,
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+
"eval_iou_tdz": 0.08179004249514715,
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+
"eval_iou_thrbar": 0.0,
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"eval_loss": 0.01818845421075821,
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"eval_mean_accuracy": 0.05102637787630682,
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"eval_mean_iou": 0.044059198999536336,
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+
"eval_overall_accuracy": 0.08002687469672651,
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"eval_runtime": 68.5586,
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"eval_samples_per_second": 1.269,
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"eval_steps_per_second": 0.642
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}
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runs/Jul14_13-42-10_25399931ec8c/events.out.tfevents.1720970494.25399931ec8c.2180.1
ADDED
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:648ecacbc3d0d58611d4876e18a6787452c2466ee3ab9af328d17ed418d30f5d
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+
size 1537
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train_results.json
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{
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"epoch": 17.341040462427745,
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+
"total_flos": 1.05218665611264e+17,
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+
"train_loss": 0.11730531366666158,
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+
"train_runtime": 5867.3784,
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+
"train_samples_per_second": 1.023,
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"train_steps_per_second": 0.511
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}
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trainer_state.json
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