---
library_name: transformers
license: other
base_model: hon9kon9ize/CantoneseLLM-7B-sft
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: CantoneseLLMChat-v1.0
  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. -->

# CantoneseLLMChat-v1.0

This model is a fine-tuned version of [hon9kon9ize/CantoneseLLM-7B-sft](https://huggingface.co/hon9kon9ize/CantoneseLLM-7B-sft) on the dpo_v1 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3170
- Rewards/chosen: -0.7307
- Rewards/rejected: -3.1239
- Rewards/accuracies: 0.8464
- Rewards/margins: 2.3931
- Logps/rejected: -226.0627
- Logps/chosen: -191.7517
- Logits/rejected: -1.5777
- Logits/chosen: -1.5363

## 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-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.0835        | 1.3495 | 500  | 0.3282          | -0.6181        | -2.8043          | 0.8494             | 2.1862          | -222.8677      | -190.6253    | -1.5563         | -1.5215       |
| 0.1151        | 2.6991 | 1000 | 0.3186          | -0.7277        | -3.1230          | 0.8524             | 2.3953          | -226.0546      | -191.7211    | -1.5777         | -1.5363       |


### Framework versions

- Transformers 4.45.0
- Pytorch 2.4.1+cu121
- Datasets 2.20.0
- Tokenizers 0.20.0