This model is a fine-tuned version of 01-ai/Yi-1.5-6B undergone layers freezeing learning on the 300m tokens Cantonese dataset, in order to train a new words embedding in the expanded vocab. This model has not been continued pre-trainined, therefore it is not recommended to be used for further pre-training.

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: 0.0002
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: 0.1
num_epochs: 1.0

Training results

Framework versions

Transformers 4.41.2
Pytorch 2.1.1+cu121
Datasets 2.15.0
Tokenizers 0.19.1

RichardErkhov/hon9kon9ize_-_yi-1.5-6b-yue-vocab-expanded-4bits

Original model description:

yi-1.5-6b-yub-vocab-expanded

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

RichardErkhov/
hon9kon9ize_-_yi-1.5-6b-yue-vocab-expanded-4bits