|
--- |
|
license: apache-2.0 |
|
base_model: MediaTek-Research/Breeze-7B-Instruct-v1_0 |
|
datasets: |
|
- Riyuechang/PTT-Corpus-100K_Gossiping-1400-39400 |
|
pipeline_tag: text-generation |
|
--- |
|
|
|
# 簡介 |
|
本模型是基於[MediaTek-Research/Breeze-7B-Instruct-v1_0](https://huggingface.co/MediaTek-Research/Breeze-7B-Instruct-v1_0)微調後的產物 |
|
模型使用來自[PTT](https://www.ptt.cc/bbs/index.html)網站中的[Gossiping](https://www.ptt.cc/bbs/Gossiping/index.html)分類的資料訓練 |
|
過程中使用了一些方法從海量的數據中，過濾出噪聲較小(理論上)的部份作為訓練數據 |
|
訓練資料: [Riyuechang/PTT-Corpus-100K_Gossiping-1400-39400](https://huggingface.co/datasets/Riyuechang/PTT-Corpus-100K_Gossiping-1400-39400) |
|
|
|
# 設備 |
|
- Ubuntu 22.04.4 LTS |
|
- NVIDIA GeForce RTX 3060 12G |
|
|
|
# Lora參數 |
|
```python |
|
r=8, |
|
lora_alpha=32, |
|
lora_dropout=0.1, |
|
task_type="CAUSAL_LM", |
|
target_modules="all-linear", |
|
bias="none", |
|
use_dora=True, |
|
use_rslora=True |
|
``` |
|
|
|
# 訓練參數 |
|
```python |
|
per_device_train_batch_size=28, |
|
gradient_accumulation_steps=1, |
|
num_train_epochs=3, |
|
warmup_ratio=0.1, |
|
learning_rate=2e-5, |
|
bf16=True, |
|
save_strategy="steps", |
|
save_steps=500, |
|
save_total_limit=10, |
|
logging_steps=10, |
|
output_dir=log_output, |
|
optim="paged_adamw_8bit", |
|
gradient_checkpointing=True |
|
``` |
|
|
|
# 結果 |
|
- loss: 1.1035 |
