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AIFT-1.3B-instruct-all-v0.54

Text Generation
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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

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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