Closed Kamel773 closed 2 years ago
Please follow the README.
Thank you @wasiahmad, I am still having an error in fine tuning the model. Please have a look at the error below.
2022-06-29 19:27:02 | INFO | fairseq.utils | CUDA enviroments for all 1 workers
2022-06-29 19:27:02 | INFO | fairseq.utils | rank 0: capabilities = 7.5 ; total memory = 14.756 GB ; name = Tesla T4
2022-06-29 19:27:02 | INFO | fairseq.utils | CUDA enviroments for all 1 workers
2022-06-29 19:27:02 | INFO | fairseq_cli.train | training on 1 devices (GPUs/TPUs)
2022-06-29 19:27:02 | INFO | fairseq_cli.train | max tokens per GPU = None and max sentences per GPU = 4
Traceback (most recent call last):
File "/opt/conda/bin/fairseq-train", line 8, in
Please make sure you use an environment that follows the package requirements. All the code in this repo is tested, so if something doesn't work, I assume the environment is not properly configured.
Hi @wasiahmad,
Thank you for sharing the source code and dataset with us.
How can I fine tune PLBART (training) on Devign dataset or a new dataset?
Kamel