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segformer-b0-finetuned-100by100PNG-50epochs
This model is a fine-tuned version of nvidia/mit-b0 on the JCAI2000/100By100BranchPNG dataset. It achieves the following results on the evaluation set:
- Loss: 0.1488
- Mean Iou: 0.0
- Mean Accuracy: nan
- Overall Accuracy: nan
- Accuracy 0: nan
- Iou 0: 0.0
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: 6e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy 0 | Iou 0 |
|---|---|---|---|---|---|---|---|---|
| 0.5785 | 2.63 | 50 | 0.4624 | 0.0 | nan | nan | nan | 0.0 |
| 0.3842 | 5.26 | 100 | 0.3092 | 0.0 | nan | nan | nan | 0.0 |
| 0.3916 | 7.89 | 150 | 0.2549 | 0.0 | nan | nan | nan | 0.0 |
| 0.2686 | 10.53 | 200 | 0.2442 | 0.0 | nan | nan | nan | 0.0 |
| 0.163 | 13.16 | 250 | 0.2046 | 0.0 | nan | nan | nan | 0.0 |
| 0.118 | 15.79 | 300 | 0.1911 | 0.0 | nan | nan | nan | 0.0 |
| 0.1432 | 18.42 | 350 | 0.1718 | 0.0 | nan | nan | nan | 0.0 |
| 0.1692 | 21.05 | 400 | 0.1877 | 0.0 | nan | nan | nan | 0.0 |
| 0.1444 | 23.68 | 450 | 0.1637 | 0.0 | nan | nan | nan | 0.0 |
| 0.084 | 26.32 | 500 | 0.1649 | 0.0 | nan | nan | nan | 0.0 |
| 0.1204 | 28.95 | 550 | 0.1601 | 0.0 | nan | nan | nan | 0.0 |
| 0.0816 | 31.58 | 600 | 0.1560 | 0.0 | nan | nan | nan | 0.0 |
| 0.1041 | 34.21 | 650 | 0.1618 | 0.0 | nan | nan | nan | 0.0 |
| 0.0906 | 36.84 | 700 | 0.1565 | 0.0 | nan | nan | nan | 0.0 |
| 0.0644 | 39.47 | 750 | 0.1500 | 0.0 | nan | nan | nan | 0.0 |
| 0.0774 | 42.11 | 800 | 0.1552 | 0.0 | nan | nan | nan | 0.0 |
| 0.0687 | 44.74 | 850 | 0.1504 | 0.0 | nan | nan | nan | 0.0 |
| 0.0931 | 47.37 | 900 | 0.1465 | 0.0 | nan | nan | nan | 0.0 |
| 0.0852 | 50.0 | 950 | 0.1488 | 0.0 | nan | nan | nan | 0.0 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
