
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# kobart-trans-en-ko-v2

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7926
- Bleu: 5.3159

## 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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results



### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0
- Datasets 2.12.0
- Tokenizers 0.13.3
{"language": ["ko", "en"], "license": "openrail", "tags": ["translation", "generated_from_trainer"], "datasets": ["fka/awesome-chatgpt-prompts"], "metrics": ["bleu"], "model-index": [{"name": "kobart-trans-en-ko-v2", "results": []}]}
transformers pytorch bart text2text-generation translation generated_from_trainer ko en dataset:fka/awesome-chatgpt-prompts license:openrail autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bart #text2text-generation #translation #generated_from_trainer #ko #en #dataset-fka/awesome-chatgpt-prompts #license-openrail #autotrain_compatible #endpoints_compatible #region-us 




# kobart-trans-en-ko-v2

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7926
- Bleu: 5.3159

## 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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results



### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0
- Datasets 2.12.0
- Tokenizers 0.13.3
# kobart-trans-en-ko-v2

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7926
- Bleu: 5.3159 ## 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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3 ### Training results ### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0
- Datasets 2.12.0
- Tokenizers 0.13.3
TAGS
#transformers #pytorch #bart #text2text-generation #translation #generated_from_trainer #ko #en #dataset-fka/awesome-chatgpt-prompts #license-openrail #autotrain_compatible #endpoints_compatible #region-us 
 # kobart-trans-en-ko-v2

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7926
- Bleu: 5.3159 ## 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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3 ### Training results ### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0
- Datasets 2.12.0
- Tokenizers 0.13.3