---
license: other
base_model: hon9kon9ize/CantoneseLLM-v0.5
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: model
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# model

This model is a fine-tuned version of [hon9kon9ize/CantoneseLLM-v0.5](https://huggingface.co/hon9kon9ize/CantoneseLLM-v0.5) on the lihkg_story_sft_v2 dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9276

## 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: 1e-05
- train_batch_size: 20
- eval_batch_size: 22
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 16
- total_train_batch_size: 1280
- total_eval_batch_size: 88
- 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 4.42.4
- Pytorch 2.3.1+cpu
- Datasets 2.19.1
- Tokenizers 0.19.1