簡介
Riyuechang/Breeze-7B-PTT-Chat-v1所使用的，未與主模型MediaTek-Research/Breeze-7B-Instruct-v1_0合併的lora模型
注意!!
此Lora模型有使用Dora技術，Dora能讓模型有更好的學習效率
代價就是會讓訓練和推理花費的時間大幅上升，尤其是推理的速度會非常慢
建議把此Lora模型跟主模型合併後在進行推理
設備
- Ubuntu 22.04.4 LTS
- NVIDIA GeForce RTX 3060 12G
Lora參數
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
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
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Inference Providers
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Model tree for Riyuechang/Breeze-7B-PTT-Chat-v1_lora
Base model
MediaTek-Research/Breeze-7B-Instruct-v1_0