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segformer-b5-finetuned-ce-head-batch3
ypark-bioinfo/segformer-b5-finetuned-ce-head-batch3
segformer-b5-finetuned-ce-head-batch3 is a machine learning model from ypark-bioinfo. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- other
- Model type
- segformer
- Access
- Public
- Created
- Jan 16, 2025
- Updated
- Jan 16, 2025
- SHA
- 33fbe5d3
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
segformer-b5-finetuned-ce-head-batch3
This model is a fine-tuned version of nvidia/mit-b5 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0522
- Mean Iou: 0.7770
- Mean Accuracy: 0.8416
- Overall Accuracy: 0.9816
- Accuracy Bg: 0.9924
- Accuracy Head: 0.6907
- Iou Bg: 0.9812
- Iou Head: 0.5729
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Bg | Accuracy Head | Iou Bg | Iou Head |
|---|---|---|---|---|---|---|---|---|---|---|
| 0.089 | 2.9412 | 100 | 0.0360 | 0.7934 | 0.8932 | 0.9859 | 0.9911 | 0.7952 | 0.9856 | 0.6012 |
| 0.0178 | 5.8824 | 200 | 0.0358 | 0.7851 | 0.8727 | 0.9859 | 0.9922 | 0.7532 | 0.9856 | 0.5845 |
| 0.0047 | 8.8235 | 300 | 0.0324 | 0.8094 | 0.8977 | 0.9875 | 0.9926 | 0.8028 | 0.9872 | 0.6316 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1
- Datasets 3.1.0
- Tokenizers 0.20.3
- Library
- transformers
- Type
- segformer
- License
- other
- Created
- Jan 16, 2025
- Updated
- Jan 16, 2025