Transformer 微调 FLAN-T5 XL/XXL 来自:Hugging Face Scaling Instruction-Finetuned Language Models 论文发布了 FLAN-T5 模型,它是 T5 模型的增强版。FLAN-T5 由很多各种各样的任务微调而得,因此,简单来讲,它就是个方方面面都更优的 T5 模型。相同参数量的条件下,FLAN-T5 的性能
from deepspeed import DeepSpeedEngine 二、加载预训练模型首先,我们需要加载预训练的 FLAN-T5 XL/XXL 模型。我们可以使用 Hugging Face 🤗 Transformers 库来加载模型和分词器: model_name = 'google/flan-t5-xl' # 或者 'google/flan-t5-xxl' model = T5ForConditionalGeneration.from_pretrained(model_name) ...
结果显示,CPU和IPU分别达到了整体平均值49.3%和49.4%,证明我们没有降低原始模型的性能。 *我们目前的FLAN-T5-XL实施最大输入长度为896个标记,所以我们此处使用的MMLU子集,其样本没有超过这个长度。 结论 现在,我们就拥有了可以在IPU上以float16进行推理的FLAN-T5-XL的实施。您还可以前往Paperspace,亲身体验更多精彩。
使用 DeepSpeed 和 HuggingFace Transformers 对 FLAN-T5 XL/XXL 进行微调 《Scaling Instruction-Finetuned Language Models》论文中发布的 FLAN-T5 是 T5 的增强版本，它已经在多种任务中进行了微调。相同参数数量下，FLAN-T5 的表现比 T5 提高了两位数。Google 已经在 Hugging Face 上开源了 5 个版本，参数范围...
Describe the bug I am tryiny to train FLAN-T5-XL using DeepSpeed zero 3 and transformers and it seems z3/ cpu offload seems to use quite a lot of gpu memory as compared to the expectations. I am running on 4x V100 16GB. And i ran the est...
# pip install bitsandbytes acceleratefromtransformersimportT5Tokenizer, T5ForConditionalGeneration tokenizer = T5Tokenizer.from_pretrained("google/flan-t5-xl") model = T5ForConditionalGeneration.from_pretrained("google/flan-t5-xl", device_map="auto", load_in_8bit=True) input_text ="translate Englis...
Benchmark cmd: numactl -C 0-55 -m 0 python benchmark.py -m /root/.cache/huggingface/hub/flan-t5-xl-ov/pytorch/dldt/FP16 -p "It is done..." -n 3 -bs 1 -d CPU --torch_compile_backend openvino -ic 128 --num_beams 1 -lc bfloat16_config.json ...
flan-t5-xl / model.safetensors.index.json model.safetensors.index.json 51.79 KB 一键复制 编辑 原始数据 按行查看 历史 Lysandre 提交于 1年前 . Adding safetensors variant of this model (#24) 12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455565758596061626364...
google/flan-t5-xl epoch 1 Ibrahim2002·1y ago· 100 views arrow_drop_up0 Copy & Edit 8 more_vert google/flan-t5-xl epoch 1
Input (1.79 GB) folder Data Sources [Private Dataset] arrow_right Essay quetions auto grading arrow_right Essay quetions auto grading arabic arrow_right expect true or false by simlilaty en arrow_right flan t5 xl 1e-4 constant rate loraSyntaxError: Unexpected end of JSON input...