---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: soumya13/GPT2_CleanDesc_MAKE_v1.3
  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_v1.3

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: 0.0121
- Validation Loss: 0.0008
- Train Accuracy: 1.0
- Epoch: 16

## 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': 6180, '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 |
|:----------:|:---------------:|:--------------:|:-----:|
| 2.3151     | 0.8093          | 0.775          | 0     |
| 0.6489     | 0.5116          | 0.825          | 1     |
| 0.2988     | 0.2341          | 0.85           | 2     |
| 0.1152     | 0.0806          | 1.0            | 3     |
| 0.0876     | 0.0790          | 1.0            | 4     |
| 0.0523     | 0.0376          | 1.0            | 5     |
| 0.0522     | 0.0212          | 1.0            | 6     |
| 0.0222     | 0.0104          | 1.0            | 7     |
| 0.0271     | 0.0044          | 1.0            | 8     |
| 0.0430     | 0.0024          | 1.0            | 9     |
| 0.0101     | 0.0015          | 1.0            | 10    |
| 0.0280     | 0.0011          | 1.0            | 11    |
| 0.0346     | 0.0009          | 1.0            | 12    |
| 0.0275     | 0.0010          | 1.0            | 13    |
| 0.0329     | 0.0007          | 1.0            | 14    |
| 0.0140     | 0.0008          | 1.0            | 15    |
| 0.0121     | 0.0008          | 1.0            | 16    |


### Framework versions

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