---
license: mit
tags:
- generated_from_keras_callback
datasets:
- corpus_v1
model-index:
- name: pminhyung12/gpt2-base-v0
  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. -->

# pminhyung12/gpt2-base-v0

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the corpus_v1 dataset.
It achieves the following results on the evaluation set:
- Train Loss: 5.1058
- Validation Loss: 6.2552
- Epoch: 7

## 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': 'AdamW', 'weight_decay': 0.004, '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': 1e-04, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: mixed_bfloat16

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 0.9128     | 0.9515          | 0     |
| 0.6172     | 0.8965          | 1     |
| 0.5713     | 0.8763          | 2     |
| 1.2088     | 1.8300          | 3     |
| 3.6887     | 5.8700          | 4     |
| 2.8920     | 3.6422          | 5     |
| 3.8045     | 8.9555          | 6     |
| 5.1058     | 6.2552          | 7     |


### Framework versions

- Transformers 4.26.1
- TensorFlow 2.12.0
- Datasets 2.9.0
- Tokenizers 0.13.2