---
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt2-kl_01_06-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_01_06-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: 0.5370

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 73.585        | 0.02  | 10   | 69.5774         |
| 46.144        | 0.04  | 20   | 32.9575         |
| 13.6058       | 0.06  | 30   | 10.6547         |
| 6.3387        | 0.08  | 40   | 4.6760          |
| 3.108         | 0.1   | 50   | 2.0148          |
| 1.4388        | 0.12  | 60   | 1.0426          |
| 1.0724        | 0.14  | 70   | 0.8244          |
| 0.8676        | 0.16  | 80   | 0.7317          |
| 0.7752        | 0.18  | 90   | 0.6445          |
| 0.758         | 0.2   | 100  | 0.6256          |
| 0.6361        | 0.22  | 110  | 0.6496          |
| 0.7083        | 0.24  | 120  | 0.5916          |
| 0.6812        | 0.26  | 130  | 0.5862          |
| 0.6816        | 0.28  | 140  | 0.6004          |
| 0.6585        | 0.3   | 150  | 0.6169          |
| 0.6748        | 0.32  | 160  | 0.5657          |
| 0.5729        | 0.34  | 170  | 0.5632          |
| 0.6929        | 0.36  | 180  | 0.5639          |
| 0.6994        | 0.38  | 190  | 0.5600          |
| 0.6378        | 0.4   | 200  | 0.5548          |
| 0.7489        | 0.42  | 210  | 0.5516          |
| 0.6943        | 0.44  | 220  | 0.5500          |
| 0.583         | 0.46  | 230  | 0.5526          |
| 0.6132        | 0.48  | 240  | 0.5489          |
| 0.6047        | 0.5   | 250  | 0.5489          |
| 0.6231        | 0.52  | 260  | 0.5420          |
| 0.6158        | 0.54  | 270  | 0.5399          |
| 0.6488        | 0.56  | 280  | 0.5399          |
| 0.6338        | 0.58  | 290  | 0.5374          |
| 0.5891        | 0.6   | 300  | 0.5400          |
| 0.6086        | 0.62  | 310  | 0.5388          |
| 0.7123        | 0.64  | 320  | 0.5365          |
| 0.5639        | 0.66  | 330  | 0.5387          |
| 0.5628        | 0.68  | 340  | 0.5351          |
| 0.581         | 0.7   | 350  | 0.5381          |
| 0.5602        | 0.72  | 360  | 0.5404          |
| 0.667         | 0.74  | 370  | 0.5370          |


### Framework versions

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