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# gpt2-kl_1_04-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: 0.5395

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 73.8253       | 0.02  | 10   | 69.5735         |
| 46.3767       | 0.04  | 20   | 33.0039         |
| 13.8102       | 0.06  | 30   | 10.6426         |
| 7.0975        | 0.08  | 40   | 4.2638          |
| 3.8614        | 0.1   | 50   | 2.0637          |
| 1.707         | 0.12  | 60   | 1.1069          |
| 1.3278        | 0.14  | 70   | 0.8700          |
| 1.1456        | 0.16  | 80   | 0.7454          |
| 1.0354        | 0.18  | 90   | 0.6439          |
| 0.9738        | 0.2   | 100  | 0.6463          |
| 0.8737        | 0.22  | 110  | 0.6093          |
| 0.8784        | 0.24  | 120  | 0.5951          |
| 0.8958        | 0.26  | 130  | 0.6124          |
| 0.9413        | 0.28  | 140  | 0.5783          |
| 0.9534        | 0.3   | 150  | 0.5726          |
| 0.893         | 0.32  | 160  | 0.5745          |
| 0.7813        | 0.34  | 170  | 0.5689          |
| 0.9262        | 0.36  | 180  | 0.5700          |
| 0.9613        | 0.38  | 190  | 0.5610          |
| 0.83          | 0.4   | 200  | 0.5601          |
| 0.9942        | 0.42  | 210  | 0.5601          |
| 0.9548        | 0.44  | 220  | 0.5549          |
| 0.7824        | 0.46  | 230  | 0.5575          |
| 0.8444        | 0.48  | 240  | 0.5560          |
| 0.8078        | 0.5   | 250  | 0.5519          |
| 0.8268        | 0.52  | 260  | 0.5490          |
| 0.8238        | 0.54  | 270  | 0.5477          |
| 0.8885        | 0.56  | 280  | 0.5500          |
| 0.8366        | 0.58  | 290  | 0.5471          |
| 0.7629        | 0.6   | 300  | 0.5484          |
| 0.8435        | 0.62  | 310  | 0.5463          |
| 0.9687        | 0.64  | 320  | 0.5458          |
| 0.7741        | 0.66  | 330  | 0.5472          |
| 0.7782        | 0.68  | 340  | 0.5446          |
| 0.7781        | 0.7   | 350  | 0.5521          |
| 0.7885        | 0.72  | 360  | 0.5511          |
| 0.8956        | 0.74  | 370  | 0.5389          |
| 0.8358        | 0.76  | 380  | 0.5379          |
| 0.8112        | 0.78  | 390  | 0.5346          |
| 0.8803        | 0.8   | 400  | 0.5337          |
| 0.7743        | 0.82  | 410  | 0.5371          |
| 0.8069        | 0.84  | 420  | 0.5388          |
| 0.8662        | 0.86  | 430  | 0.5332          |
| 0.8161        | 0.88  | 440  | 0.5354          |
| 0.8506        | 0.9   | 450  | 0.5319          |
| 0.7697        | 0.92  | 460  | 0.5314          |
| 0.7628        | 0.94  | 470  | 0.5309          |
| 0.835         | 0.96  | 480  | 0.5304          |
| 0.8235        | 0.98  | 490  | 0.5303          |
| 0.7438        | 1.0   | 500  | 0.5292          |
| 0.6762        | 1.02  | 510  | 0.5377          |
| 0.7267        | 1.04  | 520  | 0.5381          |
| 0.6736        | 1.06  | 530  | 0.5395          |


### Framework versions

- Transformers 4.28.0
- Pytorch 1.11.0+cu113
- Datasets 2.11.0
- Tokenizers 0.12.1

{"license": "mit", "tags": ["generated_from_trainer"], "model-index": [{"name": "gpt2-kl_1_04-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\_1\_04-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: 0.5395


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 4.28.0
* Pytorch 1.11.0+cu113
* Datasets 2.11.0
* Tokenizers 0.12.1



### 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 4.28.0
* Pytorch 1.11.0+cu113
* Datasets 2.11.0
* Tokenizers 0.12.1
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 4.28.0
* Pytorch 1.11.0+cu113
* Datasets 2.11.0
* Tokenizers 0.12.1
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 4.28.0
* Pytorch 1.11.0+cu113
* Datasets 2.11.0
* Tokenizers 0.12.1