---
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