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I have read the README and searched the existing issues.
System Info
root@8d9356cd571a:/nerv/nerv-workspace# llamafactory-cli env
[2024-07-04 16:14:35,683] [INFO] [real_accelerator.py:203:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[WARNING] async_io requires the dev libaio .so object and headers but these were not found.
[WARNING] async_io: please install the libaio-dev package with apt
[WARNING] If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found.
[WARNING] Please specify the CUTLASS repo directory as environment variable $CUTLASS_PATH
[WARNING] sparse_attn requires a torch version >= 1.5 and < 2.0 but detected 2.3
[WARNING] using untested triton version (2.3.1), only 1.0.0 is known to be compatible
Reminder
System Info
root@8d9356cd571a:/nerv/nerv-workspace# llamafactory-cli env
[2024-07-04 16:14:35,683] [INFO] [real_accelerator.py:203:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[WARNING] async_io requires the dev libaio .so object and headers but these were not found.
[WARNING] async_io: please install the libaio-dev package with apt
[WARNING] If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found.
[WARNING] Please specify the CUTLASS repo directory as environment variable $CUTLASS_PATH
[WARNING] sparse_attn requires a torch version >= 1.5 and < 2.0 but detected 2.3
[WARNING] using untested triton version (2.3.1), only 1.0.0 is known to be compatible
llamafactory
version: 0.8.3.dev0Reproduction
这样应该可以打印出所有训练数据
input_ids:
[151644, 8948, 198, 72448, 45139, 99689, 9909, 30767, 68756, 7552, 151645, 198, 151644, 872, 198, 99363, 99620, 109504, 9909, 30767, 68756, 7552, 151645, 198, 151644, 77091, 198, 99363, 99620, 102104, 9909, 30767, 68756, 7552, 151645]
inputs:
<|im_start|>system
系统提示词(选填)<|im_end|>
<|im_start|>user
第一轮指令(选填)<|im_end|>
<|im_start|>assistant
第一轮回答(选填)<|im_end|>
label_ids:
[-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 99363, 99620, 102104, 9909, 30767, 68756, 7552, 151645]
labels:
第一轮回答(选填)<|im_end|>
Expected behavior
按道理weiui应该输出
第一轮回答
第二轮回答
模型回答
但是现在只有第一轮回答,说明历史消息没有正确加到训练数据中~
Others
No response
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