End of training
Browse files- README.md +3 -1
- all_results.json +19 -0
- eval_results.json +14 -0
- runs/Apr25_10-37-32_72b087a978d7/events.out.tfevents.1745583538.72b087a978d7.5473.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +2243 -0
README.md
CHANGED
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@@ -3,6 +3,8 @@ library_name: transformers
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license: other
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| 4 |
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: HDCSHseg_models
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@@ -14,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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# HDCSHseg_models
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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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| 19 |
- Loss: 0.5558
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| 20 |
- Mean Iou: 0.3834
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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: HDCSHseg_models
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| 17 |
# HDCSHseg_models
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+
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the TommyClas/HDCSH_seg dataset.
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| 20 |
It achieves the following results on the evaluation set:
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| 21 |
- Loss: 0.5558
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| 22 |
- Mean Iou: 0.3834
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all_results.json
ADDED
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@@ -0,0 +1,19 @@
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+
{
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+
"epoch": 100.0,
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| 3 |
+
"eval_accuracy_\u672a\u6c34\u5316\u6c34\u6ce5\u9897\u7c92\u4e0e\u9ad8\u5bc6\u5ea6C-S-H\u6df7\u5408": 0.7668103315931123,
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| 4 |
+
"eval_accuracy_\u80cc\u666f": NaN,
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| 5 |
+
"eval_iou_\u672a\u6c34\u5316\u6c34\u6ce5\u9897\u7c92\u4e0e\u9ad8\u5bc6\u5ea6C-S-H\u6df7\u5408": 0.7668103315931123,
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| 6 |
+
"eval_iou_\u80cc\u666f": 0.0,
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| 7 |
+
"eval_loss": 0.555773138999939,
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| 8 |
+
"eval_mean_accuracy": 0.7668103315931123,
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| 9 |
+
"eval_mean_iou": 0.38340516579655615,
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| 10 |
+
"eval_overall_accuracy": 0.7668103315931123,
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| 11 |
+
"eval_runtime": 13.9056,
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| 12 |
+
"eval_samples_per_second": 14.383,
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| 13 |
+
"eval_steps_per_second": 1.798,
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| 14 |
+
"total_flos": 1.4004836461707264e+18,
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| 15 |
+
"train_loss": 0.34876649284362793,
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| 16 |
+
"train_runtime": 6059.0007,
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| 17 |
+
"train_samples_per_second": 13.203,
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| 18 |
+
"train_steps_per_second": 1.65
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| 19 |
+
}
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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": 100.0,
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+
"eval_accuracy_\u672a\u6c34\u5316\u6c34\u6ce5\u9897\u7c92\u4e0e\u9ad8\u5bc6\u5ea6C-S-H\u6df7\u5408": 0.7668103315931123,
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| 4 |
+
"eval_accuracy_\u80cc\u666f": NaN,
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| 5 |
+
"eval_iou_\u672a\u6c34\u5316\u6c34\u6ce5\u9897\u7c92\u4e0e\u9ad8\u5bc6\u5ea6C-S-H\u6df7\u5408": 0.7668103315931123,
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| 6 |
+
"eval_iou_\u80cc\u666f": 0.0,
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| 7 |
+
"eval_loss": 0.555773138999939,
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| 8 |
+
"eval_mean_accuracy": 0.7668103315931123,
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| 9 |
+
"eval_mean_iou": 0.38340516579655615,
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+
"eval_overall_accuracy": 0.7668103315931123,
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+
"eval_runtime": 13.9056,
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| 12 |
+
"eval_samples_per_second": 14.383,
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| 13 |
+
"eval_steps_per_second": 1.798
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+
}
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runs/Apr25_10-37-32_72b087a978d7/events.out.tfevents.1745583538.72b087a978d7.5473.1
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+
version https://git-lfs.github.com/spec/v1
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+
oid sha256:7b684d390ffaf68724a32acabe39e5cdc3c1fbf9ef8ea29c4889578fa4e918b4
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+
size 830
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train_results.json
ADDED
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@@ -0,0 +1,8 @@
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+
{
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+
"epoch": 100.0,
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+
"total_flos": 1.4004836461707264e+18,
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| 4 |
+
"train_loss": 0.34876649284362793,
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| 5 |
+
"train_runtime": 6059.0007,
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| 6 |
+
"train_samples_per_second": 13.203,
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| 7 |
+
"train_steps_per_second": 1.65
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| 8 |
+
}
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trainer_state.json
ADDED
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@@ -0,0 +1,2243 @@
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| 1 |
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