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# gpt2-ft-id-puisi

This model is a fine-tuned on an [Indonesian Recipe](https://huggingface.co/datasets/Sultannn/id_recipe).
It achieves the following results on the evaluation set:
- Train Loss: 5.3628
- Validation Loss: 5.8179


### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 7.3561     | 6.5449          | 0     |
| 6.2176     | 6.1573          | 1     |
| 5.8533     | 6.0014          | 2     |
| 5.5955     | 5.8798          | 3     |
| 5.3628     | 5.8179          | 4     |


# Licenese
[The MIT license](https://opensource.org/licenses/MIT)
{"license": "mit", "tags": ["generated_from_keras_callback", "id", "Indonesian"], "dataset": ["id_puisi"], "widget": [{"text": "SENJA"}, {"text": "BERANI"}], "model-index": [{"name": "Sultannn/gpt2-ft-id-puisi", "results": []}]}
transformers tf tensorboard gpt2 text-generation generated_from_keras_callback id Indonesian license:mit autotrain_compatible endpoints_compatible has_space text-generation-inference region:us
TAGS
#transformers #tf #tensorboard #gpt2 #text-generation #generated_from_keras_callback #id #Indonesian #license-mit #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 


gpt2-ft-id-puisi
================


This model is a fine-tuned on an Indonesian Recipe.
It achieves the following results on the evaluation set:


* Train Loss: 5.3628
* Validation Loss: 5.8179


### Training results



Licenese
========


The MIT license



### Training results



Licenese
========


The MIT license
TAGS
#transformers #tf #tensorboard #gpt2 #text-generation #generated_from_keras_callback #id #Indonesian #license-mit #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 
 ### Training results



Licenese
========


The MIT license
passage: TAGS
#transformers #tf #tensorboard #gpt2 #text-generation #generated_from_keras_callback #id #Indonesian #license-mit #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 
### Training results



Licenese
========


The MIT license