Comments (1)
flow3rdown
commented on June 23, 2024
LightNER主要适用场景为少样本场景，另外LightNER在中文场景下的性能存疑，主要是因为生成式的方式在中文场景下寻找实体边界的能力较弱。您可以尝试调一下参数，例如learning rate, batch size等，参考issue #127
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Related Issues (20)
- 请问内置的预训练模型具体是什么 HOT 3
- 超过512就会报错。 HOT 6
- RE standard 是否有论文参考 HOT 2
- example中NER任务 HOT 10
- 二次训练数据集 HOT 2
- OneKE在未来是否考虑推出llama3版本 HOT 2
- 您好，请问关系抽取（全监督）任务采用的是管道模型还是联合模型 HOT 3
- 请问standard场景下的re任务中的数据集是贵组自己构建的吗 HOT 5
- 您好，请问关系抽取任务中的train_loss,valid_loss和test_loss HOT 3
- The installed version of bitsandbytes was compiled without GPU support. 8-bit optimizers, 8-bit multiplication, and GPU quantization are unavailable. HOT 4
- 请问为什么模型生成的json格式包含\和多余的" HOT 3
- macos Sonoma 14.4.1 (M3 chip) 安装不了 HOT 2
- pip安装cnschema出错 HOT 10
- KG2Instruction框架图 HOT 1
- baichuan2-13b-iepile-lora模型预测报错zjunlp/baichuan2-13b-iepile-lora does not appear to have a file named config.json. HOT 13
- fastchat can use？ HOT 1
- 在特定领域上微调运行脚本报错：finetune.py: error: the following arguments are required: --output_dir HOT 6
- 请问有kg2instrction使用的data目录的数据吗？ HOT 5
- infer llama 报错 HOT 2
- infer llama3-8B-instruct 报错return _sentencepiece.SentencePieceProcessor_LoadFromFile(self, arg) TypeError: not a string HOT 1
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