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I have been trying to reproduce the results that you have presented in the paper, but my pre-trained and fine-tuned adapters only achieve an accuracy of about 0.6 on the GLUE dataset (using 4_pretrain_adapter.py, glue_1_download_glue.sh, glue_2_finetune_adapter.sh).
Since the random walks are generated using a probability, could you share the exact random walks that you used in your experiment? Maybe the bad performance is caused by the difference in training data.
The text was updated successfully, but these errors were encountered:
Hello,
I have been trying to reproduce the results that you have presented in the paper, but my pre-trained and fine-tuned adapters only achieve an accuracy of about 0.6 on the GLUE dataset (using 4_pretrain_adapter.py, glue_1_download_glue.sh, glue_2_finetune_adapter.sh).
Since the random walks are generated using a probability, could you share the exact random walks that you used in your experiment? Maybe the bad performance is caused by the difference in training data.
The text was updated successfully, but these errors were encountered: