Comments (2)
Hey @wenjingk-xilinx,
From the script parameters you shared, it seems you're using a bert-large checkpoint. For successful training, you might need to tune the training hyperparameters for this model a bit. E.g. by lowering the learning rate or enabling warmup steps to help the model converge.
I was able to get a Matthews coefficient of ~0.546 after 1 epoch with your training setup (par_bn
config) by lowering the learning rate to 5e-5 and setting --warmup_steps 200
.
Hope this helps!
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Hi @calpt ,
Yeah, I tried with lower learning rate lr=5e-6, then get "eval_matthews_correlation=0.502" for one epoch. Thanks for your quick reply!
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