Comments (1)
The model checkpoint is saved in DeepSpeed format. We would provide a script to convert the checkpoint to a better format (like Transformers) later and try to remove DeepSpeed. Thanks for your advice!.
As for the problem, it seems that the docker is not ready. It is indeed troublesome to set up the docker. So we update the Readme and provide a solution to avoid the docker (Section 5.1). You can try this.
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Related Issues (20)
- torch multiprocessing api failed HOT 6
- 关于huggingface的finetune前的结果出入 HOT 15
- 请问这些输出是哪里代码打印的? HOT 1
- 请问,我在运行eva_finetune的时候出现了ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 1) local_rank: 0 (pid: 58058) of binary: HOT 6
- finetune的输入长度 HOT 1
- 这个效果是认真的吗?is this result true? HOT 1
- example.py 那里的文件路径放的都是bin的模型吗? HOT 2
- 请问role embeds参数的初始化问题 HOT 6
- error occurred when i run eva_finetune.py HOT 4
- 我停止了思考 HOT 7
- huggingface的 tokenizer报错 HOT 11
- 微调错误RuntimeError: apex.optimizers.FusedAdam requires cuda extensions HOT 4
- huggingface分支代码运行报错问题及解决方法
- 运行交互式评测报错 HOT 1
- 微调报CUDA out of memory错误 HOT 6
- RuntimeError: a leaf Variable... HOT 2
- EVA2.0-xLarge 模型? HOT 2
- 确定现在给出的这个xlarge模型没有问题吗?为什么效果这么差呀,回答都混乱了 HOT 8
- EVA3 HOT 1
- 关于数据过滤 HOT 1
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