---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: soumya13/GPT2_CleanDesc_MAKE_v3.0
  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_v3.0

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: 0.0492
- Validation Loss: 0.5345
- Train Accuracy: 0.8462
- Epoch: 18

## 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 3040, '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 |
|:----------:|:---------------:|:--------------:|:-----:|
| 2.2952     | 2.0148          | 0.3846         | 0     |
| 1.6880     | 1.6117          | 0.4872         | 1     |
| 1.3471     | 1.4949          | 0.5385         | 2     |
| 1.1142     | 1.3389          | 0.6410         | 3     |
| 0.8515     | 1.1787          | 0.5897         | 4     |
| 0.6936     | 0.8458          | 0.7436         | 5     |
| 0.5641     | 0.7660          | 0.7436         | 6     |
| 0.4862     | 0.8724          | 0.6667         | 7     |
| 0.3327     | 0.7529          | 0.7692         | 8     |
| 0.2869     | 0.5615          | 0.8718         | 9     |
| 0.2437     | 0.5124          | 0.8462         | 10    |
| 0.1663     | 0.5285          | 0.8718         | 11    |
| 0.1589     | 0.6002          | 0.8718         | 12    |
| 0.1495     | 0.6048          | 0.8974         | 13    |
| 0.1131     | 0.5759          | 0.8462         | 14    |
| 0.1051     | 0.5339          | 0.8718         | 15    |
| 0.0582     | 0.5317          | 0.8974         | 16    |
| 0.0502     | 0.5349          | 0.8718         | 17    |
| 0.0492     | 0.5345          | 0.8462         | 18    |


### Framework versions

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