AIFT-1.3B-instruct-all-v0.54
Model description
This model is a fine-tuned version of 42dot/42dot_LLM-PLM-1.3B.
Intended uses & limitations
More information needed
Training data
More information needed
Training procedure
Hardware
- ubuntu 18.04
- GPU : A6000 * 3ea
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 24
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 96
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0
- mixed_precision_training: Native AMP
Model Benchmark
Evaluation
ko-lm-eval-harness
Ko-LLM leaderboard
- Follow up as Open KO-LLM LeaderBoard.
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.0.0
- Tokenizers 0.15.0
License
The model is licensed under the cc-by-nc-sa-4.0 license, which allows others to copy, modify, and share the work non-commercially, as long as they give appropriate credit and distribute any derivative works under the same license.
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