mkingopng / feedback_prize_pytorch Goto Github PK
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License: MIT License
starting over
License: MIT License
Need to add TQDM progress bars
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: Avoid using tokenizers
before the fork if possible, Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
need to add Kfolds to HF approach
get this code to work on the large model
to deal with spelling mistakes, punctuation & grammar
transformers warning: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW() instead, or set no_deprecation_warning=True
to disable this warning.
once I decide if I'm minimizing loss or maximizing f1, save epochs that set a new best for that metric
use wandb sweeps to optimize hyperparameters
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