End of training
Browse files- README.md +3 -1
- all_results.json +19 -0
- eval_results.json +14 -0
- train_results.json +8 -0
- trainer_state.json +1217 -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: segformer-finetuned-tt-225-2k
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@@ -14,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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# segformer-finetuned-tt-225-2k
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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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| 18 |
It achieves the following results on the evaluation set:
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| 19 |
- Loss: 0.1299
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| 20 |
- Mean Iou: 0.4851
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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-tt-225-2k
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# segformer-finetuned-tt-225-2k
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+
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the Saumya-Mundra/text255 dataset.
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| 20 |
It achieves the following results on the evaluation set:
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| 21 |
- Loss: 0.1299
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| 22 |
- Mean Iou: 0.4851
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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": 68.96551724137932,
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+
"eval_accuracy_no_text": 0.9701784379830324,
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| 4 |
+
"eval_accuracy_text": NaN,
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| 5 |
+
"eval_iou_no_text": 0.9701784379830324,
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| 6 |
+
"eval_iou_text": 0.0,
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| 7 |
+
"eval_loss": 0.12989187240600586,
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| 8 |
+
"eval_mean_accuracy": 0.9701784379830324,
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| 9 |
+
"eval_mean_iou": 0.4850892189915162,
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| 10 |
+
"eval_overall_accuracy": 0.9701784379830324,
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| 11 |
+
"eval_runtime": 2.4511,
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| 12 |
+
"eval_samples_per_second": 30.599,
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| 13 |
+
"eval_steps_per_second": 4.08,
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| 14 |
+
"total_flos": 2.7210398151632486e+17,
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+
"train_loss": 0.11668173718452454,
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+
"train_runtime": 724.9682,
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| 17 |
+
"train_samples_per_second": 22.07,
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+
"train_steps_per_second": 2.759
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+
}
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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": 68.96551724137932,
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+
"eval_accuracy_no_text": 0.9701784379830324,
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| 4 |
+
"eval_accuracy_text": NaN,
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+
"eval_iou_no_text": 0.9701784379830324,
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+
"eval_iou_text": 0.0,
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| 7 |
+
"eval_loss": 0.12989187240600586,
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| 8 |
+
"eval_mean_accuracy": 0.9701784379830324,
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| 9 |
+
"eval_mean_iou": 0.4850892189915162,
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| 10 |
+
"eval_overall_accuracy": 0.9701784379830324,
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+
"eval_runtime": 2.4511,
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+
"eval_samples_per_second": 30.599,
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+
"eval_steps_per_second": 4.08
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+
}
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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": 68.96551724137932,
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"total_flos": 2.7210398151632486e+17,
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+
"train_loss": 0.11668173718452454,
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+
"train_runtime": 724.9682,
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+
"train_samples_per_second": 22.07,
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"train_steps_per_second": 2.759
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+
}
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trainer_state.json
ADDED
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@@ -0,0 +1,1217 @@
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