---
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt2-kl_001_07_hscnspecial-hs_cn
  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_001_07_hscnspecial-hs_cn

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: 0.5583

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 73.5264       | 0.02  | 10   | 69.5797         |
| 46.0831       | 0.04  | 20   | 32.9588         |
| 13.5437       | 0.06  | 30   | 10.6394         |
| 6.7905        | 0.08  | 40   | 4.1876          |
| 3.5385        | 0.1   | 50   | 2.0711          |
| 1.5427        | 0.12  | 60   | 1.1384          |
| 1.1141        | 0.14  | 70   | 0.8584          |
| 0.926         | 0.16  | 80   | 0.7673          |
| 0.7432        | 0.18  | 90   | 0.6549          |
| 0.7195        | 0.2   | 100  | 0.6203          |
| 0.6079        | 0.22  | 110  | 0.5966          |
| 0.6356        | 0.24  | 120  | 0.5855          |
| 0.6443        | 0.26  | 130  | 0.5837          |
| 0.6171        | 0.28  | 140  | 0.5791          |
| 0.6031        | 0.3   | 150  | 0.5869          |
| 0.587         | 0.32  | 160  | 0.5674          |
| 0.518         | 0.34  | 170  | 0.5665          |
| 0.6313        | 0.36  | 180  | 0.5698          |
| 0.6331        | 0.38  | 190  | 0.5624          |
| 0.5768        | 0.4   | 200  | 0.5575          |
| 0.6768        | 0.42  | 210  | 0.5587          |
| 0.6288        | 0.44  | 220  | 0.5500          |
| 0.5371        | 0.46  | 230  | 0.5510          |
| 0.5499        | 0.48  | 240  | 0.5578          |
| 0.548         | 0.5   | 250  | 0.5583          |


### Framework versions

- Transformers 4.29.0.dev0
- Pytorch 1.12.0a0+bd13bc6
- Datasets 2.12.0
- Tokenizers 0.13.3