3. The type of instructions should be diverse. The list should include diverse types of tasks like open-ended generation, classification, editing, etc. 2. A GPT language model should be able to complete the instruction. For example, do not ask the assistant to create any visual or audio ou...
中文LLaMA模型和指令精调的Alpaca大模型:中文数据进行二次预训练,进一步提升了中文基础语义理解能力 以ChatGPT、GPT-4等为代表的大语言模型(Large Language Model,LLM)掀起了新一轮自然语言处理领域的研究浪潮,展现出了类通用人工智能(AGI)的能力,受到业界广泛关注。然而,由于大语言模型的训练和部署都极为昂贵,为构建...
None)ifeos_token_idisNone:action_mask=torch.ones_like(sequences,dtype=torch.bool)else:# left p...
We currently select the combination of BELLE and Guanaco data as our main training dataset. We will train on multi-turn instruction data. What is the meaning? Similar to the explosion of the stable diffusion model, platforms like civitai have emerged, consisting of a base model + various LORA...
在Unix-like系统中,我们可以使用Shell命令进行Alpaca数据集的格式转换。比如使用`cp`和`mv`命令进行文件的复制和移动,使用`awk`和`sed`命令进行文本文件的处理等等。Shell命令在处理文件和文本数据时有着高效和灵活的特点,非常适合进行数据格式转换的操作。 3. 第三方工具 还有很多第三方工具适用于Alpaca数据集的格式...
We currently select the combination of BELLE and Guanaco data as our main training dataset. We will train on multi-turn instruction data. What is the meaning? Similar to the explosion of the stable diffusion model, platforms like civitai have emerged, consisting of a base model + various LORA...
-e, --evaluation_dataset=EVALUATION_DATASET Type: Union Default: <func... Path to the evaluation dataset or a function that returns a dataframe. If None, we use the default evaluation -a, --annotators_config=ANNOTATORS_CONFIG Type: Union Default: 'alpaca_eval_gpt4_turbo_fn' Path to ...
Bring your own dataset and fine-tune your own LoRA, likeCabrita: A portuguese finetuned instruction LLaMA, orFine-tune LLaMA to speak like Homer Simpson. Push the model to Replicateto run it in the cloud. This is handy if you want an API to build interfaces, or to run large-scale ev...
LoRA works like this: Select some weights in a model, such as the query projection weight $W_q$ in a transformer model. Add (yes, arithmetic addition) adapter weights to the selected weights. Freeze the original model, only train the added weight. The added weight has some special properti...
要训练 Toolapaca,我们需要创建一个提示以组织数据集,使其以标准 SFT 训练代码可读的格式呈现,类似于 build_dataset.py 中所做的操作。之后,我们可以使用标准的 SFT 方法进行训练,仅优化思想、行动和行动输入的损失。 deepspeed --num_gpus=2 --master_port=12345 train.py --deepspeed ${deepspeed config path...