} #Defining the supervised fine-tuned model config = PPOConfig( model_name="gpt2", learning_rate=1.41e-5, ) model = AutoModelForCausalLMWithValueHead.from_pretrained(config.model_name) tokenizer = AutoTokenizer.from_pretrained(config.model_name) tokenizer.pad_token = tokenizer.eos_token #Defin...
#Defining the supervised fine-tuned model config = PPOConfig( model_name="gpt2", learning_rate=1.41e-5, ) model = AutoModelForCausalLMWithValueHead.from_pretrained(config.model_name) tokenizer = AutoTokenizer.from_pretrained(config.model_name) tokenizer.pad_token = tokenizer.eos_token #Defining...
TrainingArgumentsmodel_name=model_checkpoint.split("/")[-1]training_args=TrainingArguments(f"{model_name}-finetuned-wikitext2",evaluation_strategy="epoch",learning_rate=2e-5,weight_decay=0.01,push_to_hub=True,)trainer=Trainer(model=model,args=training_...
2. 加载我们要fine-tune的模型: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 from transformersimportAutoModelForSequenceClassification model=AutoModelForSequenceClassification.from_pretrained(checkpoint,num_labels=2) 代码语言:javascript 代码运行次数:0 运行 AI代码解释 >>>(warnings)Some weightsofthe mo...
#Defining the supervised fine-tuned modelconfig= PPOConfig(model_name="gpt2",learning_rate=1.41e-5, ) model = AutoModelForCausalLMWithValueHead.from_pretrained(config.model_name) tokenizer = AutoTokenizer.from_pretrained(config.model_name) ...
#Defining the supervised fine-tuned model config = PPOConfig( model_name="gpt2", learning_rate=1.41e-5, ) model = AutoModelForCausalLMWithValueHead.from_pretrained(config.model_name) tokenizer = AutoTokenizer.from_pretrained(config.model_name) ...
Prefix Tuning: P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks P-Tuning: GPT Understands, Too Prompt Tuning: The Power of Scale for Parameter-Efficient Prompt Tuning 注意: 本教程是在 g5.2xlarge AWS EC2 实例上创建和运行的,该实例包含 1 个 NVIDI...
但有一件事让人非常疑惑:19 年 T5 通过“调参”发现,设计预训练模型时,Encoder-Decoder 的模型结构 + MLM 任务,在下游任务 finetune 效果是最好的。可是在 2202 年的当下,主流的大模型用的都是仅 decoder 的模型结构设计,比如 OpenAI 的 GPT 系列...
finetune GPT2 using Huggingface model app https://gpt2-rickbot.streamlit.app/ results model https://huggingface.co/code-cp/gpt2-rickbot dialogue bot after 1 epoch sample 0: Rick: I turned myself into a pickle, Morty! Morty: oh. *wetly* Rick: you know, in the world of Rick...