|
--- |
|
license: other |
|
base_model: nvidia/segformer-b0-finetuned-ade-512-512 |
|
tags: |
|
- generated_from_keras_callback |
|
model-index: |
|
- name: Omar280X/personal_license_segmentation |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information Keras had access to. You should |
|
probably proofread and complete it, then remove this comment. --> |
|
|
|
# Omar280X/personal_license_segmentation |
|
|
|
This model is a fine-tuned version of [nvidia/segformer-b0-finetuned-ade-512-512](https://huggingface.co/nvidia/segformer-b0-finetuned-ade-512-512) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Train Loss: 0.0104 |
|
- Validation Loss: 0.0105 |
|
- Epoch: 49 |
|
|
|
## 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: |
|
- optimizer: {'name': 'Adam', 'learning_rate': 6e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} |
|
- training_precision: float32 |
|
|
|
### Training results |
|
|
|
| Train Loss | Validation Loss | Epoch | |
|
|:----------:|:---------------:|:-----:| |
|
| 0.0804 | 0.0281 | 0 | |
|
| 0.0291 | 0.0244 | 1 | |
|
| 0.0272 | 0.0234 | 2 | |
|
| 0.0240 | 0.0222 | 3 | |
|
| 0.0224 | 0.0212 | 4 | |
|
| 0.0214 | 0.0201 | 5 | |
|
| 0.0224 | 0.0199 | 6 | |
|
| 0.0200 | 0.0189 | 7 | |
|
| 0.0210 | 0.0187 | 8 | |
|
| 0.0196 | 0.0184 | 9 | |
|
| 0.0185 | 0.0174 | 10 | |
|
| 0.0180 | 0.0169 | 11 | |
|
| 0.0178 | 0.0165 | 12 | |
|
| 0.0167 | 0.0160 | 13 | |
|
| 0.0162 | 0.0155 | 14 | |
|
| 0.0158 | 0.0147 | 15 | |
|
| 0.0151 | 0.0143 | 16 | |
|
| 0.0147 | 0.0138 | 17 | |
|
| 0.0146 | 0.0137 | 18 | |
|
| 0.0144 | 0.0134 | 19 | |
|
| 0.0143 | 0.0131 | 20 | |
|
| 0.0134 | 0.0130 | 21 | |
|
| 0.0132 | 0.0132 | 22 | |
|
| 0.0130 | 0.0132 | 23 | |
|
| 0.0130 | 0.0124 | 24 | |
|
| 0.0127 | 0.0122 | 25 | |
|
| 0.0127 | 0.0122 | 26 | |
|
| 0.0124 | 0.0119 | 27 | |
|
| 0.0122 | 0.0123 | 28 | |
|
| 0.0123 | 0.0117 | 29 | |
|
| 0.0118 | 0.0115 | 30 | |
|
| 0.0117 | 0.0117 | 31 | |
|
| 0.0116 | 0.0115 | 32 | |
|
| 0.0115 | 0.0117 | 33 | |
|
| 0.0114 | 0.0113 | 34 | |
|
| 0.0113 | 0.0111 | 35 | |
|
| 0.0110 | 0.0109 | 36 | |
|
| 0.0125 | 0.0109 | 37 | |
|
| 0.0114 | 0.0108 | 38 | |
|
| 0.0107 | 0.0108 | 39 | |
|
| 0.0107 | 0.0108 | 40 | |
|
| 0.0122 | 0.0112 | 41 | |
|
| 0.0109 | 0.0108 | 42 | |
|
| 0.0106 | 0.0106 | 43 | |
|
| 0.0105 | 0.0107 | 44 | |
|
| 0.0106 | 0.0106 | 45 | |
|
| 0.0105 | 0.0108 | 46 | |
|
| 0.0106 | 0.0110 | 47 | |
|
| 0.0103 | 0.0108 | 48 | |
|
| 0.0104 | 0.0105 | 49 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.37.0 |
|
- TensorFlow 2.5.0 |
|
- Tokenizers 0.15.2 |
|
|
