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# gpt2_tiny_zh-hk-wiki

**This model was trained on a dataset with a 50MB size for 10 epochs only.**

**Purely intended for research and testing purposes.**


This model is a fine-tuned version of [jed351/gpt2-tiny-zh-hk](https://huggingface.co/jed351/gpt2-tiny-zh-hk) on the [cantonese-wikipedia](https://huggingface.co/datasets/jed351/cantonese-wikipedia) dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3834

## 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: 2e-05
- train_batch_size: 200
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 412  | 3.6481          |
| 4.0728        | 2.0   | 824  | 3.5399          |
| 3.757         | 3.0   | 1236 | 3.4889          |
| 3.6669        | 4.0   | 1648 | 3.4557          |
| 3.6189        | 5.0   | 2060 | 3.4295          |
| 3.6189        | 6.0   | 2472 | 3.4129          |
| 3.5835        | 7.0   | 2884 | 3.3992          |
| 3.5604        | 8.0   | 3296 | 3.3905          |
| 3.5434        | 9.0   | 3708 | 3.3849          |
| 3.537         | 10.0  | 4120 | 3.3834          |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
{"language": ["zh-"], "tags": ["generated_from_trainer"], "datasets": ["jed351/cantonese-wikipedia"], "pipeline_tag": "text-generation", "model-index": [{"name": "gpt2_tiny_zh-hk-wiki", "results": []}]}
transformers pytorch tensorboard gpt2 text-generation generated_from_trainer dataset:jed351/cantonese-wikipedia autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #gpt2 #text-generation #generated_from_trainer #dataset-jed351/cantonese-wikipedia #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

gpt2\_tiny\_zh-hk-wiki
======================


This model was trained on a dataset with a 50MB size for 10 epochs only.


Purely intended for research and testing purposes.


This model is a fine-tuned version of jed351/gpt2-tiny-zh-hk on the cantonese-wikipedia dataset.
It achieves the following results on the evaluation set:


* Loss: 3.3834


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: 2e-05
* train\_batch\_size: 200
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10
* mixed\_precision\_training: Native AMP


### Training results



### Framework versions


* Transformers 4.26.0
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 200
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.26.0
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #gpt2 #text-generation #generated_from_trainer #dataset-jed351/cantonese-wikipedia #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 200
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.26.0
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #gpt2 #text-generation #generated_from_trainer #dataset-jed351/cantonese-wikipedia #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 200
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10
* mixed\_precision\_training: Native AMP### Training results### Framework versions


* Transformers 4.26.0
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* Tokenizers 0.13.2