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segformer-proposed-5
genofog/segformer-proposed-5
segformer-proposed-5 is a machine learning model from genofog. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- other
- Model type
- segformer
- Access
- Public
- Created
- Sep 12, 2024
- Updated
- Sep 12, 2024
- SHA
- 40556acd
Base models
Datasets
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-proposed-5
This model is a fine-tuned version of nvidia/segformer-b0-finetuned-ade-512-512 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 1.8378
- Accuracy: 0.7089
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 5.9051 | 1.0 | 247 | 5.0387 | 0.0597 |
| 4.644 | 2.0 | 494 | 3.3368 | 0.3475 |
| 3.4264 | 3.0 | 741 | 2.4415 | 0.5804 |
| 3.0112 | 4.0 | 988 | 2.0148 | 0.6760 |
| 2.6763 | 5.0 | 1235 | 1.8378 | 0.7089 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 3.0.0
- Tokenizers 0.15.2
- Type
- segformer
- License
- other
- Created
- Sep 12, 2024
- Updated
- Sep 12, 2024