|
--- |
|
license: mit |
|
base_model: openai-community/gpt2 |
|
tags: |
|
- generated_from_keras_callback |
|
model-index: |
|
- name: kasrahabib/gpt2-finetuned-iso29148-req-detector |
|
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. --> |
|
|
|
# kasrahabib/gpt2-finetuned-iso29148-req-detector |
|
|
|
This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Train Loss: 0.1004 |
|
- Validation Loss: 0.5468 |
|
- Epoch: 29 |
|
|
|
## 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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 3570, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False} |
|
- training_precision: float32 |
|
|
|
### Training results |
|
|
|
| Train Loss | Validation Loss | Epoch | |
|
|:----------:|:---------------:|:-----:| |
|
| 3.0225 | 2.8144 | 0 | |
|
| 2.7666 | 2.7501 | 1 | |
|
| 2.6971 | 2.6517 | 2 | |
|
| 2.6218 | 2.4804 | 3 | |
|
| 2.3698 | 2.0353 | 4 | |
|
| 1.8887 | 1.4317 | 5 | |
|
| 1.1104 | 0.8991 | 6 | |
|
| 0.7810 | 0.8057 | 7 | |
|
| 0.6463 | 0.6800 | 8 | |
|
| 0.5507 | 0.6747 | 9 | |
|
| 0.4679 | 0.6156 | 10 | |
|
| 0.4313 | 0.6102 | 11 | |
|
| 0.3696 | 0.5972 | 12 | |
|
| 0.3365 | 0.5437 | 13 | |
|
| 0.2866 | 0.5637 | 14 | |
|
| 0.2492 | 0.5682 | 15 | |
|
| 0.2392 | 0.5496 | 16 | |
|
| 0.2029 | 0.6076 | 17 | |
|
| 0.2062 | 0.5368 | 18 | |
|
| 0.1898 | 0.5434 | 19 | |
|
| 0.1670 | 0.5434 | 20 | |
|
| 0.1682 | 0.5403 | 21 | |
|
| 0.1650 | 0.5830 | 22 | |
|
| 0.1326 | 0.5400 | 23 | |
|
| 0.1366 | 0.5497 | 24 | |
|
| 0.1148 | 0.5432 | 25 | |
|
| 0.1263 | 0.5662 | 26 | |
|
| 0.1171 | 0.5591 | 27 | |
|
| 0.1075 | 0.5445 | 28 | |
|
| 0.1004 | 0.5468 | 29 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.40.1 |
|
- TensorFlow 2.15.0 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
|
|
