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cantonesellm-cpt-202405

This model is a fine-tuned version of hon9kon9ize/yi-1.5-6b-yub-vocab-expanded on the hon9kon9ize/cantonesellm-pt-20240514 dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.05
  • num_epochs: 1

Training results

Framework versions

  • Transformers 4.40.2
  • Pytorch 2.1.0+cu118
  • Datasets 2.19.1
  • Tokenizers 0.19.1
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