desperadoola

Hi, could you also provide the corresponding vocabulary file for the pre-trained model?

Same question in here. Why not permute only on partial prediction parts, and let it based on bidirectional contexts x_{zc} | x_{z

Any update? Follow the suggestion in [here](https://github.com/huggingface/transformers/issues/17258#issuecomment-1128282939) to make a large swapfile, but the loading takes forever ...

> Any update? > > Follow the suggestion in [here](https://github.com/huggingface/transformers/issues/17258#issuecomment-1128282939) to make a large swapfile, but the loading takes forever ... Change 'pin_memory' to False, and follow this #3629 solve...

The same conflicts exist on memory generation task, according to Agent Information Page:  But when run the script: `parlai dd --task projects.bb3.tasks.r2c2_memory_generation_tasks:MscMemoryGenerationTeacher`, it generates the below samples. Apparently, a...

So what is the best way to print out the training examples after all the extra processing? For example, the task `projects.bb3.tasks.r2c2_decision_tasks:MSCMemoryDecisionTeacher` when we train bb3.

I have checked the logbook of bb3 carefully. I'm wondering if the task `projects.bb3.tasks.opt_decision_tasks:MSCMemoryDecisionTeacher` is up-to-date. Since I did find the below descriptions in the logbook, which seems to be...

Thanks for your reply. It confused me for a long time. It's impressive that the model could figure out the mismatch and give a reasonable response. Great work!

https://github.com/vllm-project/vllm/blob/66c54aa9c33555a6b41421d57d3ad6c1bf004ec9/vllm/engine/async_llm_engine.py#L67-L75 I comment this `await asyncio.sleep(0)` and it seems to temporarily solve the stuck.