name=dataset_config)# Load tokenizer of FLAN-t5-basetokenizer = AutoTokenizer.from_pretrained(model_id)print(f"Train dataset size: {len(dataset['train'])}")print(f"Test dataset size: {len(dataset['test'])}")# Train dataset size
outs = model.generate(input_ids=inputs["input_ids"], attention_mask=inputs["attention_mask"], max_length=128, no_repeat_ngram_size=4, num_beams=4) # 解码输出以获得翻译文本 translated_text = tokenizer.decode(outs[0], skip_special_tokens=False) print(translated_text) 1. 2. 3. 4. ...
deepspeed--num_gpus=8 scripts/run_seq2seq_deepspeed.py --model_id google/flan-t5-xxl --dataset_path data --epochs 3 --per_device_train_batch_size 8 --per_device_eval_batch_size 8 --generation_max_length 129 --lr 1e-4 --deepspeed configs/ds_flan_t5_z3_config_bf16.json DeepSpeed...
快：可用 8 张 3090 卡约 3 天完成一个领域迁移（base 级），8 张 3090 卡半天完成一个任务适应。
Reduce the model size by3Xusing quantization. Up to5Xspeedup compared to PyTorch execution for greedy search and3-4Xfor beam search. Benchmarks The benchmarks are the result of the T5-base model tested on English to French translation. ...
实验的模型尺寸分别是Base(220M)、Large(770M)和XL(3B); 预训练的batch size为256,输入长度4096,输出长度910;预训练时路由数量m=512,是输入长度的1/8; 微调时,除了ContractNLI以外,输入长度均使用16384;输出长度依据任务不同有128、512和1024;路由数量为m=1024,为输出长度的1/16; 评估的数据集有TriviaQA、ar...
ValueError: Trying to set a tensor of shape torch.Size([128256, 3072]) in "weight" (which has shape torch.Size([128003, 3072])), this looks incorrect #36350 Open 4 tasks auxking mentioned this pull request Feb 24, 2025 Found Accelerate, but exited with a 127 code for the --...
Hugging Face T5-base的情感分析 首先,让我们加载基本模型。 代码语言:javascript 代码运行次数:0 复制 Cloud Studio代码运行 from simpletransformers.t5importT5Modelmodel_args={"max_seq_length":196,"train_batch_size":8,"eval_batch_size":8,"num_train_epochs":1,"evaluate_during_training":True,"evalua...
3.4.2 Pre-training dataset size 本文创建C4的方法旨在能够创建非常大的预训练数据集。对大量数据的访问使我们能够对模型进行预训练,而无需重复样本。目前尚不清楚在预训练期间重复样本是会对下游性能有所帮助还是有害,因为我们的预训练目标本身就是随机的,并且可以帮助防止模型多次看到相同的数据。
no_repeat_ngram_size– The model ensures that a sequence of words ofno_repeat_ngram_sizeis not repeated in the output sequence. If specified, it must be a positive integer greater than 1. temperature– Controls the randomness in the output. Higher temperature results in o...