README.md

metadata

base_model: hon9kon9ize/yi-1.5-6b-yub-vocab-expanded
tags:
  - alignment-handbook
  - trl
  - sft
  - generated_from_trainer
  - trl
  - sft
  - generated_from_trainer
datasets:
  - hon9kon9ize/cantonesellm-pt-20240514
model-index:
  - name: cantonesellm-cpt-202405
    results: []

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