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---
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt2-kl_01_07-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_07-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: 0.5492

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 73.6057       | 0.02  | 10   | 69.5688         |
| 46.1297       | 0.04  | 20   | 32.9398         |
| 13.6236       | 0.06  | 30   | 10.6408         |
| 6.8926        | 0.08  | 40   | 4.2341          |
| 3.624         | 0.1   | 50   | 2.0277          |
| 1.4923        | 0.12  | 60   | 1.0828          |
| 1.1113        | 0.14  | 70   | 0.8631          |
| 1.0637        | 0.16  | 80   | 0.8401          |
| 0.8052        | 0.18  | 90   | 0.7114          |
| 0.8037        | 0.2   | 100  | 0.6471          |
| 0.6838        | 0.22  | 110  | 0.5986          |
| 0.6964        | 0.24  | 120  | 0.5857          |
| 0.7026        | 0.26  | 130  | 0.5939          |
| 0.7504        | 0.28  | 140  | 0.5821          |
| 0.6942        | 0.3   | 150  | 0.5732          |
| 0.6843        | 0.32  | 160  | 0.5735          |
| 0.5917        | 0.34  | 170  | 0.5641          |
| 0.7147        | 0.36  | 180  | 0.5679          |
| 0.7191        | 0.38  | 190  | 0.5727          |
| 0.6479        | 0.4   | 200  | 0.5622          |
| 0.7827        | 0.42  | 210  | 0.5531          |
| 0.7211        | 0.44  | 220  | 0.5480          |
| 0.6038        | 0.46  | 230  | 0.5514          |
| 0.6323        | 0.48  | 240  | 0.5456          |
| 0.6168        | 0.5   | 250  | 0.5470          |
| 0.6322        | 0.52  | 260  | 0.5515          |
| 0.6365        | 0.54  | 270  | 0.5492          |


### Framework versions

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