These models are based on pretrained T5 (Raffel et al., 2020) and fine-tuned with instructions for better zero-shot and few-shot performance. There is one fine-tuned Flan model per T5 model size. The model has been trained on TPU v3 or TPU v4 pods, usingt5xcodebase together withjax....
"name_or_path": "google/flan-t5-base", "pad_token": "<pad>", "sp_model_kwargs": {}, "special_tokens_map_file": "/home/younes_huggingface_co/.cache/huggingface/hub/models--google--t5-v1_1-base/snapshots/650d7745bf1e502d6949b22cc19155cd656d3d4e/special_tokens_map.json",...
参考: - 《总结从T5、GPT-3、Chinchilla、PaLM、LLaMA、Alpaca等近30个最新模型》 - LLaMA、Palm、GLM、BLOOM、GPT模型结构对比最佳阅读体验请点击 LLMs模型速览(GPTs、LaMDA、GLM/ChatGLM、PaLM/Flan-PaLM、BLOO…
先说一些观点，假如我们在微调一个大模型，单次实验微调所用的指令微调数据集应该选取“质量高、多样性...
These models are based on pretrained T5 (Raffel et al., 2020) and fine-tuned with instructions for better zero-shot and few-shot performance. There is one fine-tuned Flan model per T5 model size.The model has been trained on TPU v3 or TPU v4 pods, using t5x codebase together with ...
These models are based on pretrained T5 (Raffel et al., 2020) and fine-tuned with instructions for better zero-shot and few-shot performance. There is one fine-tuned Flan model per T5 model size. The model has been trained on TPU v3 or TPU v4 pods, usingt5xcodebase together withjax....
FlanT5-small,参数量约8000万 PaLM 8B,参数量80亿 PaLM 62B,参数量620亿 PaLM 540B,参数量5400亿 ...
2、创造能力更强 大模型能够进行内容生成（AIGC），助力内容规模化生产 3、灵活定制场景 通过举例子的...
如果我没记的话，这两篇paper的evaluation metrics是不一样的吧，flan偏向于traditional nlp tasks，lima...
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