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# gpt2-kl_001_03-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: 0.5372

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 73.521        | 0.02  | 10   | 69.5792         |
| 46.0701       | 0.04  | 20   | 32.9500         |
| 13.5412       | 0.06  | 30   | 10.6417         |
| 6.7655        | 0.08  | 40   | 4.2201          |
| 3.5358        | 0.1   | 50   | 2.0294          |
| 1.4198        | 0.12  | 60   | 1.0840          |
| 1.042         | 0.14  | 70   | 0.8606          |
| 0.896         | 0.16  | 80   | 0.8272          |
| 0.7281        | 0.18  | 90   | 0.6379          |
| 0.6989        | 0.2   | 100  | 0.6281          |
| 0.6405        | 0.22  | 110  | 0.5944          |
| 0.6289        | 0.24  | 120  | 0.5855          |
| 0.6205        | 0.26  | 130  | 0.5851          |
| 0.64          | 0.28  | 140  | 0.5708          |
| 0.5967        | 0.3   | 150  | 0.5671          |
| 0.5929        | 0.32  | 160  | 0.5630          |
| 0.5119        | 0.34  | 170  | 0.5588          |
| 0.6208        | 0.36  | 180  | 0.5582          |
| 0.6224        | 0.38  | 190  | 0.5598          |
| 0.5705        | 0.4   | 200  | 0.5569          |
| 0.6721        | 0.42  | 210  | 0.5594          |
| 0.6295        | 0.44  | 220  | 0.5559          |
| 0.5279        | 0.46  | 230  | 0.5591          |
| 0.5412        | 0.48  | 240  | 0.5553          |
| 0.5475        | 0.5   | 250  | 0.5507          |
| 0.5593        | 0.52  | 260  | 0.5447          |
| 0.5491        | 0.54  | 270  | 0.5404          |
| 0.5906        | 0.56  | 280  | 0.5417          |
| 0.5791        | 0.58  | 290  | 0.5399          |
| 0.5425        | 0.6   | 300  | 0.5404          |
| 0.5399        | 0.62  | 310  | 0.5359          |
| 0.6556        | 0.64  | 320  | 0.5371          |
| 0.5078        | 0.66  | 330  | 0.5401          |
| 0.5082        | 0.68  | 340  | 0.5372          |


### Framework versions

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

{"license": "mit", "tags": ["generated_from_trainer"], "model-index": [{"name": "gpt2-kl_001_03-hs_cn", "results": []}]}
transformers pytorch gpt2 text-generation generated_from_trainer license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #gpt2 #text-generation #generated_from_trainer #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

gpt2-kl\_001\_03-hs\_cn
=======================


This model is a fine-tuned version of gpt2-medium on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 0.5372


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



### Framework versions


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



### 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 ### Framework versions


* Transformers 4.29.0.dev0
* Pytorch 1.12.0a0+bd13bc6
* Datasets 2.12.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #gpt2 #text-generation #generated_from_trainer #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 ### 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 ### Framework versions


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