---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: pradeep4321/model2
  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. -->

# pradeep4321/model2

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 5.9225
- Validation Loss: 7.0365
- Epoch: 21

## 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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 800, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 200, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: mixed_float16

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 7.2465     | 7.5143          | 0     |
| 7.1890     | 7.4800          | 1     |
| 7.1104     | 7.4496          | 2     |
| 7.0491     | 7.4218          | 3     |
| 7.0064     | 7.3964          | 4     |
| 6.9428     | 7.3732          | 5     |
| 6.9061     | 7.3505          | 6     |
| 6.8538     | 7.3301          | 7     |
| 6.7857     | 7.3108          | 8     |
| 6.7253     | 7.2893          | 9     |
| 6.6743     | 7.2693          | 10    |
| 6.5944     | 7.2491          | 11    |
| 6.5499     | 7.2288          | 12    |
| 6.4767     | 7.2084          | 13    |
| 6.4145     | 7.1887          | 14    |
| 6.3713     | 7.1664          | 15    |
| 6.2863     | 7.1450          | 16    |
| 6.2017     | 7.1229          | 17    |
| 6.1524     | 7.1017          | 18    |
| 6.0841     | 7.0788          | 19    |
| 5.9643     | 7.0540          | 20    |
| 5.9225     | 7.0365          | 21    |


### Framework versions

- Transformers 4.29.0
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3