hon9kon9ize / cantonese-gemma-sft-lora

huggingface.co
Total runs: 4
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: April 21 2024

Introduction of cantonese-gemma-sft-lora

Model Details of cantonese-gemma-sft-lora

cantonese-gemma-sft-lora

This model is a fine-tuned version of google/gemma-2b on the HuggingFaceH4/deita-10k-v0-sft and the hon9kon9ize/yue-alpaca-chat datasets.

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: 0.0001
  • train_batch_size: 1
  • eval_batch_size: 2
  • seed: 42
  • distributed_type: multi-GPU
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 4
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.03
  • num_epochs: 1
Training results
Framework versions
  • PEFT 0.7.1
  • Transformers 4.39.3
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2

Runs of hon9kon9ize cantonese-gemma-sft-lora on huggingface.co

4
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
0
30-day runs

More Information About cantonese-gemma-sft-lora huggingface.co Model

More cantonese-gemma-sft-lora license Visit here:

https://choosealicense.com/licenses/gemma

cantonese-gemma-sft-lora huggingface.co

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cantonese-gemma-sft-lora huggingface.co Url

https://huggingface.co/hon9kon9ize/cantonese-gemma-sft-lora

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https://huggingface.co/hon9kon9ize/cantonese-gemma-sft-lora

cantonese-gemma-sft-lora install

cantonese-gemma-sft-lora is an open source model from GitHub that offers a free installation service, and any user can find cantonese-gemma-sft-lora on GitHub to install. At the same time, huggingface.co provides the effect of cantonese-gemma-sft-lora install, users can directly use cantonese-gemma-sft-lora installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

cantonese-gemma-sft-lora install url in huggingface.co:

https://huggingface.co/hon9kon9ize/cantonese-gemma-sft-lora

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