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# gpt2-kl_01_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: 0.5377

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 73.5948       | 0.02  | 10   | 69.5786         |
| 46.1586       | 0.04  | 20   | 32.9619         |
| 13.6007       | 0.06  | 30   | 10.6513         |
| 6.8042        | 0.08  | 40   | 4.2289          |
| 2.8577        | 0.1   | 50   | 2.1080          |
| 1.447         | 0.12  | 60   | 1.1006          |
| 1.2972        | 0.14  | 70   | 0.9296          |
| 0.9482        | 0.16  | 80   | 0.7053          |
| 0.7817        | 0.18  | 90   | 0.7118          |
| 0.7763        | 0.2   | 100  | 0.6232          |
| 0.6719        | 0.22  | 110  | 0.5972          |
| 0.6852        | 0.24  | 120  | 0.5835          |
| 0.7033        | 0.26  | 130  | 0.5850          |
| 0.6782        | 0.28  | 140  | 0.5815          |
| 0.6635        | 0.3   | 150  | 0.5757          |
| 0.6405        | 0.32  | 160  | 0.5796          |
| 0.5739        | 0.34  | 170  | 0.5705          |
| 0.7139        | 0.36  | 180  | 0.5606          |
| 0.6883        | 0.38  | 190  | 0.5592          |
| 0.6429        | 0.4   | 200  | 0.5586          |
| 0.7397        | 0.42  | 210  | 0.5511          |
| 0.6993        | 0.44  | 220  | 0.5484          |
| 0.5946        | 0.46  | 230  | 0.5515          |
| 0.6172        | 0.48  | 240  | 0.5473          |
| 0.6077        | 0.5   | 250  | 0.5442          |
| 0.6148        | 0.52  | 260  | 0.5435          |
| 0.6213        | 0.54  | 270  | 0.5425          |
| 0.6431        | 0.56  | 280  | 0.5414          |
| 0.6459        | 0.58  | 290  | 0.5392          |
| 0.604         | 0.6   | 300  | 0.5394          |
| 0.603         | 0.62  | 310  | 0.5368          |
| 0.7207        | 0.64  | 320  | 0.5387          |
| 0.5689        | 0.66  | 330  | 0.5407          |
| 0.5721        | 0.68  | 340  | 0.5377          |


### 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_01_07_hscnspecial-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\_01\_07\_hscnspecial-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: 0.5377


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