

This model is a fine-tuned version of [EleutherAI/polyglot-ko-12.8b](https://huggingface.co/EleutherAI/polyglot-ko-12.8b)




### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2.0
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.29.0.dev0
- Pytorch 2.0.0+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2

{"language": ["ko"], "license": "apache-2.0", "tags": ["polyglot-ko", "gpt-neox"], "datasets": ["beomi/KoAlpaca-v1.1a"]}
transformers pytorch gpt_neox feature-extraction polyglot-ko gpt-neox ko dataset:beomi/KoAlpaca-v1.1a license:apache-2.0 endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #gpt_neox #feature-extraction #polyglot-ko #gpt-neox #ko #dataset-beomi/KoAlpaca-v1.1a #license-apache-2.0 #endpoints_compatible #text-generation-inference #region-us 



This model is a fine-tuned version of EleutherAI/polyglot-ko-12.8b




### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2.0
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.29.0.dev0
- Pytorch 2.0.0+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2.0
- mixed_precision_training: Native AMP ### Framework versions

- Transformers 4.29.0.dev0
- Pytorch 2.0.0+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #gpt_neox #feature-extraction #polyglot-ko #gpt-neox #ko #dataset-beomi/KoAlpaca-v1.1a #license-apache-2.0 #endpoints_compatible #text-generation-inference #region-us 
 ### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2.0
- mixed_precision_training: Native AMP ### Framework versions

- Transformers 4.29.0.dev0
- Pytorch 2.0.0+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2