---
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_trainer
model-index:
- name: kgpt2
  results: []
---

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# kgpt2

This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7114

## 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:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.2631        | 1.0   | 8    | 2.1033          |
| 2.1285        | 2.0   | 16   | 1.9838          |
| 2.0715        | 3.0   | 24   | 1.9079          |
| 2.0995        | 4.0   | 32   | 1.8528          |
| 2.0271        | 5.0   | 40   | 1.8074          |
| 1.9592        | 6.0   | 48   | 1.7816          |
| 1.9125        | 7.0   | 56   | 1.7446          |
| 1.9205        | 8.0   | 64   | 1.7277          |
| 1.8993        | 9.0   | 72   | 1.7178          |
| 1.8994        | 10.0  | 80   | 1.7114          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3