Comments (12)
上面这个版本问题解决了,但是遇到了新的问题,请问我在预处理之后获得的mergerd_data为啥为空呢,我也没有找到对应的vocab.bpe.600;以至于预处理的数据不对,调用fairseq generate导致后面字典和数据维度对不上
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上面这个版本问题解决了,但是遇到了新的问题,请问我在预处理之后获得的mergerd_data为啥为空呢,我也没有找到对应的vocab.bpe.600;以至于预处理的数据不对,调用fairseq generate导致后面字典和数据维度对不上
vocab.bpe可能是在README中dataset小节中下载的,可是现在链接用不了
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您好,请问我直接用您的en-de模型在toy数据形成的二进制文件上跑,出现以下错误是为什么呢?hydra.errors.ConfigCompositionException: Error merging override generation.print_alignment=False
您好,请问我直接用您的en-de模型在toy数据形成的二进制文件上跑,出现以下错误是为什么呢?hydra.errors.ConfigCompositionException: Error merging override generation.print_alignment=False
你好,我也报了这个错,可以告诉我怎么解决么
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您好,我也报了这个错,请问您最后是怎么解决的呢?
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您好,我也报了这个错,请问您最后是怎么解决的呢?
把你现在fairseq删掉,去git上找到最新的release,下载源码重装一下就好了,版本问题
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上面这个版本问题解决了,但是遇到了新的问题,请问我在预处理之后获得的mergerd_data为啥为空呢,我也没有找到对应的vocab.bpe.600;以至于预处理的数据不对,调用fairseq generate导致后面字典和数据维度对不上
vocab.bpe可能是在README中dataset小节中下载的,可是现在链接用不了
您好,我在dataset小节中找到了vocab.bep.32000,请问这个可以替代vocab.bep.600吗
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您好,我参考知乎进行微调【https://zhuanlan.zhihu.com/p/353070757】,使用的vocab.bpe.32000代替600,checkpoint_best.pt使用的mRASP-PC32-6enc6dec.pt,在执行export CUDA_VISIBLE_DEVICES=1
export EVAL_GPU_INDEX=${eval_gpu_index}
bash ${PROJECT_ROOT}/train/fine-tune.sh ${PROJECT_ROOT}/experiments/example/configs/train/fine-tune/en2de_transformer_big.yml ${PROJECT_ROOT}/experiments/example/configs/eval/en2de_eval.yml
时,屏幕打印出如下错误:
Usage: sacremoses tokenize [OPTIONS]
Try 'sacremoses tokenize -h' for help.
Error: No such option: -l
sacreBLEU: System and reference streams have different lengths.
请帮忙看一下,是什么问题
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我也遇到了同样的问题,请问该问题您是否已经解决?
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您好,我参考知乎进行微调【https://zhuanlan.zhihu.com/p/353070757】,使用的vocab.bpe.32000代替600,checkpoint_best.pt使用的mRASP-PC32-6enc6dec.pt,在执行export CUDA_VISIBLE_DEVICES=1
export EVAL_GPU_INDEX=${eval_gpu_index}
bash ${PROJECT_ROOT}/train/fine-tune.sh ${PROJECT_ROOT}/experiments/example/configs/train/fine-tune/en2de_transformer_big.yml ${PROJECT_ROOT}/experiments/example/configs/eval/en2de_eval.yml
时,屏幕打印出如下错误:
Usage: sacremoses tokenize [OPTIONS]
Try 'sacremoses tokenize -h' for help.
Error: No such option: -l
sacreBLEU: System and reference streams have different lengths.
请帮忙看一下,是什么问题
你好, sacreBLEU: System and reference streams have different lengths.的意思是reference和hypo文件长度不一致,另外sacreBLEU的版本也在更新, 具体的可以查看sacreBLEU的git官网查看使用说明。
from mrasp.
您好,我参考知乎进行微调【https://zhuanlan.zhihu.com/p/353070757】,使用的vocab.bpe.32000代替600,checkpoint_best.pt使用的mRASP-PC32-6enc6dec.pt,在执行export CUDA_VISIBLE_DEVICES=1 export EVAL_GPU_INDEX=${eval_gpu_index} bash PROJECTROOT/train/fine−tune.sh{PROJECT_ROOT}/experiments/example/configs/train/fine-tune/en2de_transformer_big.yml ${PROJECT_ROOT}/experiments/example/configs/eval/en2de_eval.yml 时,屏幕打印出如下错误: Usage: sacremoses tokenize [OPTIONS] Try 'sacremoses tokenize -h' for help. Error: No such option: -l sacreBLEU: System and reference streams have different lengths. 请帮忙看一下,是什么问题
你好,请问这个问题你是怎么解决的呀?
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Related Issues (20)
- 数据预处理一直跑不通
- 关于pre-train的问题,这个阶段只能在单机单卡上运行,单机多卡hang住了
- 代码中的sacrebleu的版本号是多少呀? HOT 2
- 数据集
- 微调英德数据集,执行最后的fine-tine.sh,报错KeyError:0
- 数据集下载问题 HOT 8
- 添加中文,日文分词器之后,无法加载预训练模型 HOT 7
- 请问模型支持跨语言输入吗 HOT 1
- 数据集下载问题 HOT 2
- Fine-tuning mRASP for Ar-En
- 新增vocabulary的格式
- 下载mRASP-PC32-6enc6dec.pt,使用德英数据微调,多头注意力计算报错 HOT 2
- 關於全局變數路徑?
- 预训练模型下载
- 加载模型出错
- Error merging override generation.print_alignment=False HOT 1
- AttributeError: 'MMapIndexedDataset' object has no attribute '_bin_buffer_mmap'
- 请问一下这个文件是如何得来的"dict.{}.txt".format(args.source_lang)
- 抱歉,实在是没有看懂fairseq和shell脚本,请教个问题 HOT 1
- 我将fairseq模型转为transformers模型 HOT 3
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