Update @ 2023.06.01
- Add Safetensor sharded model weight (max shard = 1GB)
KoAlpaca-Polyglot-12.8B (v1.1b)
This model is a fine-tuned version of EleutherAI/polyglot-ko-12.8b 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: 1
- seed: 42
- distributed_type: multi-GPU (A100 80G)
- num_devices: 4
- gradient_accumulation_steps: 64
- total_train_batch_size: 256
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2.0
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu117
- Datasets 2.11.0
- Tokenizers 0.13.3
- Downloads last month
- 3,564
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.