---
license: mit
base_model: openai-community/gpt2
tags:
- generated_from_keras_callback
model-index:
- name: kasrahabib/gpt2-finetuned-iso29148-sward-on-promise-km-labels-f-nf-cls
  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-sward-on-promise-km-labels-f-nf-cls

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: 0.0043
- Validation Loss: 0.4534
- Epoch: 14

## 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': 61815, '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 |
|:----------:|:---------------:|:-----:|
| 0.4009     | 0.2523          | 0     |
| 0.2466     | 0.2587          | 1     |
| 0.1737     | 0.2424          | 2     |
| 0.1156     | 0.2541          | 3     |
| 0.0731     | 0.2580          | 4     |
| 0.0488     | 0.3160          | 5     |
| 0.0364     | 0.2907          | 6     |
| 0.0268     | 0.3266          | 7     |
| 0.0178     | 0.4484          | 8     |
| 0.0162     | 0.3838          | 9     |
| 0.0107     | 0.4148          | 10    |
| 0.0073     | 0.4724          | 11    |
| 0.0068     | 0.4474          | 12    |
| 0.0041     | 0.4823          | 13    |
| 0.0043     | 0.4534          | 14    |


### Framework versions

- Transformers 4.42.3
- TensorFlow 2.15.0
- Datasets 2.19.1
- Tokenizers 0.19.1