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---
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
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