---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: yodi/gpt-2-finetuned-papers
  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. -->

# yodi/gpt-2-finetuned-papers

This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 1.9448
- Validation Loss: 1.8459
- Epoch: 10

## 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': {'module': 'keras.optimizers.schedules', 'class_name': 'ExponentialDecay', 'config': {'initial_learning_rate': 0.0005, 'decay_steps': 500, 'decay_rate': 0.95, 'staircase': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 2.4234     | 2.1273          | 0     |
| 2.1829     | 1.9976          | 1     |
| 2.0794     | 1.9288          | 2     |
| 2.0208     | 1.8907          | 3     |
| 1.9872     | 1.8705          | 4     |
| 1.9680     | 1.8579          | 5     |
| 1.9572     | 1.8519          | 6     |
| 1.9511     | 1.8491          | 7     |
| 1.9478     | 1.8471          | 8     |
| 1.9458     | 1.8464          | 9     |
| 1.9448     | 1.8459          | 10    |


### Framework versions

- Transformers 4.30.2
- TensorFlow 2.13.0
- Datasets 2.12.0
- Tokenizers 0.13.3