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---
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
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