---
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt2-kl_01_04-hs_cn-loto_muslim
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# gpt2-kl_01_04-hs_cn-loto_muslim

This model is a fine-tuned version of [gpt2-medium](https://huggingface.co/gpt2-medium) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5380

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 4
- seed: 21
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 73.5693       | 0.03  | 10   | 65.1086         |
| 31.2617       | 0.06  | 20   | 18.3949         |
| 12.0113       | 0.08  | 30   | 7.2956          |
| 3.702         | 0.11  | 40   | 2.9472          |
| 1.8413        | 0.14  | 50   | 1.2727          |
| 1.3358        | 0.17  | 60   | 0.9255          |
| 0.8787        | 0.2   | 70   | 0.7903          |
| 0.7065        | 0.23  | 80   | 0.7346          |
| 0.6537        | 0.25  | 90   | 0.6680          |
| 0.8109        | 0.28  | 100  | 0.6131          |
| 0.6697        | 0.31  | 110  | 0.5983          |
| 0.6555        | 0.34  | 120  | 0.5935          |
| 0.6505        | 0.37  | 130  | 0.5838          |
| 0.684         | 0.4   | 140  | 0.5768          |
| 0.6723        | 0.42  | 150  | 0.5736          |
| 0.687         | 0.45  | 160  | 0.5709          |
| 0.6504        | 0.48  | 170  | 0.5710          |
| 0.711         | 0.51  | 180  | 0.5685          |
| 0.7001        | 0.54  | 190  | 0.5695          |
| 0.5758        | 0.57  | 200  | 0.5651          |
| 0.6491        | 0.59  | 210  | 0.5652          |
| 0.6248        | 0.62  | 220  | 0.5617          |
| 0.579         | 0.65  | 230  | 0.5515          |
| 0.5784        | 0.68  | 240  | 0.5500          |
| 0.5178        | 0.71  | 250  | 0.5550          |
| 0.6129        | 0.74  | 260  | 0.5530          |
| 0.5729        | 0.76  | 270  | 0.5467          |
| 0.5687        | 0.79  | 280  | 0.5429          |
| 0.6217        | 0.82  | 290  | 0.5413          |
| 0.5902        | 0.85  | 300  | 0.5402          |
| 0.6314        | 0.88  | 310  | 0.5362          |
| 0.5481        | 0.91  | 320  | 0.5354          |
| 0.6007        | 0.93  | 330  | 0.5333          |
| 0.5496        | 0.96  | 340  | 0.5326          |
| 0.6287        | 0.99  | 350  | 0.5329          |
| 0.5383        | 1.02  | 360  | 0.5366          |
| 0.5227        | 1.05  | 370  | 0.5380          |


### Framework versions

- Transformers 4.28.0
- Pytorch 1.11.0+cu113
- Datasets 2.11.0
- Tokenizers 0.13.3