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# gpt2-kl_01_04_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: 0.5583

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 73.5419       | 0.02  | 10   | 69.5826         |
| 46.0912       | 0.04  | 20   | 32.9478         |
| 13.5577       | 0.06  | 30   | 10.6427         |
| 6.8429        | 0.08  | 40   | 4.2253          |
| 3.5596        | 0.1   | 50   | 2.0345          |
| 1.4308        | 0.12  | 60   | 1.0810          |
| 1.0569        | 0.14  | 70   | 0.8577          |
| 1.0017        | 0.16  | 80   | 0.8291          |
| 0.7285        | 0.18  | 90   | 0.6919          |
| 0.7232        | 0.2   | 100  | 0.6110          |
| 0.5979        | 0.22  | 110  | 0.6133          |
| 0.6368        | 0.24  | 120  | 0.6051          |
| 0.6606        | 0.26  | 130  | 0.6075          |
| 0.6428        | 0.28  | 140  | 0.5920          |
| 0.6106        | 0.3   | 150  | 0.5754          |
| 0.6218        | 0.32  | 160  | 0.5741          |
| 0.534         | 0.34  | 170  | 0.5633          |
| 0.6411        | 0.36  | 180  | 0.5685          |
| 0.6353        | 0.38  | 190  | 0.5805          |
| 0.5922        | 0.4   | 200  | 0.5556          |
| 0.6924        | 0.42  | 210  | 0.5595          |
| 0.6429        | 0.44  | 220  | 0.5601          |
| 0.5428        | 0.46  | 230  | 0.5583          |


### 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_04_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\_04\_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: 0.5583


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