File size: 1,510 Bytes
9ed3f08 01498e4 9ed3f08 01498e4 9ed3f08 c0a5c8a 9ed3f08 c0a5c8a 9ed3f08 01498e4 99e2e34 cede2d4 65c59a6 3bd8da2 c0a5c8a 9ed3f08 fec5e01 9ed3f08 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 |
---
license: other
base_model: nvidia/mit-b0
tags:
- generated_from_keras_callback
model-index:
- name: Omar280X/printed_ID_Segmentation_1
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/printed_ID_Segmentation_1
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.5221
- Validation Loss: 0.7828
- Epoch: 5
## 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': 3.639184e-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 |
|:----------:|:---------------:|:-----:|
| 0.3885 | 1.1158 | 0 |
| 0.4938 | 0.6734 | 1 |
| 0.4921 | 0.6814 | 2 |
| 0.5149 | 0.7493 | 3 |
| 0.4889 | 0.7936 | 4 |
| 0.5221 | 0.7828 | 5 |
### Framework versions
- Transformers 4.37.2
- TensorFlow 2.10.0
- Datasets 3.6.0
- Tokenizers 0.15.2
|