---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: soumya13/GPT2_CleanDesc_MAKE_v1.2
  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. -->

# soumya13/GPT2_CleanDesc_MAKE_v1.2

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: 0.0236
- Validation Loss: 0.0016
- Train Accuracy: 1.0
- Epoch: 8

## 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': False, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 3090, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Accuracy | Epoch |
|:----------:|:---------------:|:--------------:|:-----:|
| 1.3273     | 0.8888          | 0.825          | 0     |
| 0.5318     | 0.4344          | 0.9            | 1     |
| 0.2698     | 0.1237          | 0.95           | 2     |
| 0.1233     | 0.0866          | 0.95           | 3     |
| 0.0594     | 0.0243          | 1.0            | 4     |
| 0.0474     | 0.0099          | 1.0            | 5     |
| 0.0232     | 0.0056          | 1.0            | 6     |
| 0.0254     | 0.0027          | 1.0            | 7     |
| 0.0236     | 0.0016          | 1.0            | 8     |


### Framework versions

- Transformers 4.28.1
- TensorFlow 2.12.0
- Datasets 2.11.0
- Tokenizers 0.13.3