
Update @ 2023.06.01

- Add Safetensor sharded model weight (max shard = 1GB)

# KoAlpaca-Polyglot-5.8B (v1.1b)

This model is a fine-tuned version of [EleutherAI/polyglot-ko-5.8b](https://huggingface.co/EleutherAI/polyglot-ko-5.8b) on a KoAlpaca Dataset v1.1b

Detail Codes are available at [KoAlpaca Github Repository](https://github.com/Beomi/KoAlpaca)

## Training procedure

### 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+cu117
- Datasets 2.10.1
- Tokenizers 0.13.2

{"language": ["ko"], "license": "apache-2.0", "tags": ["generated_from_trainer", "polyglot-ko", "gpt-neox", "KoAlpaca"], "datasets": ["KoAlpaca-v1.1b"], "pipeline_tag": "text-generation", "base_model": "EleutherAI/polyglot-ko-5.8b", "model-index": [{"name": "KoAlpaca-Polyglot-5.8B", "results": []}]}
transformers pytorch safetensors gpt_neox text-generation generated_from_trainer polyglot-ko gpt-neox KoAlpaca ko dataset:KoAlpaca-v1.1b base_model:EleutherAI/polyglot-ko-5.8b license:apache-2.0 autotrain_compatible endpoints_compatible has_space text-generation-inference region:us
TAGS
#transformers #pytorch #safetensors #gpt_neox #text-generation #generated_from_trainer #polyglot-ko #gpt-neox #KoAlpaca #ko #dataset-KoAlpaca-v1.1b #base_model-EleutherAI/polyglot-ko-5.8b #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 


Update @ 2023.06.01

- Add Safetensor sharded model weight (max shard = 1GB)

# KoAlpaca-Polyglot-5.8B (v1.1b)

This model is a fine-tuned version of EleutherAI/polyglot-ko-5.8b on a KoAlpaca Dataset v1.1b

Detail Codes are available at KoAlpaca Github Repository

## Training procedure

### 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+cu117
- Datasets 2.10.1
- Tokenizers 0.13.2

# KoAlpaca-Polyglot-5.8B (v1.1b)

This model is a fine-tuned version of EleutherAI/polyglot-ko-5.8b on a KoAlpaca Dataset v1.1b

Detail Codes are available at KoAlpaca Github Repository ## Training procedure ### 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+cu117
- Datasets 2.10.1
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #safetensors #gpt_neox #text-generation #generated_from_trainer #polyglot-ko #gpt-neox #KoAlpaca #ko #dataset-KoAlpaca-v1.1b #base_model-EleutherAI/polyglot-ko-5.8b #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 
 # KoAlpaca-Polyglot-5.8B (v1.1b)

This model is a fine-tuned version of EleutherAI/polyglot-ko-5.8b on a KoAlpaca Dataset v1.1b

Detail Codes are available at KoAlpaca Github Repository ## Training procedure ### 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+cu117
- Datasets 2.10.1
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #safetensors #gpt_neox #text-generation #generated_from_trainer #polyglot-ko #gpt-neox #KoAlpaca #ko #dataset-KoAlpaca-v1.1b #base_model-EleutherAI/polyglot-ko-5.8b #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 
# KoAlpaca-Polyglot-5.8B (v1.1b)

This model is a fine-tuned version of EleutherAI/polyglot-ko-5.8b on a KoAlpaca Dataset v1.1b

Detail Codes are available at KoAlpaca Github Repository## Training procedure### 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+cu117
- Datasets 2.10.1
- Tokenizers 0.13.2