Comments (4)
Got it; thanks!
from simpletransformers.
What is the size of your dataset? Do you mean 70,000 steps per training epoch?
from simpletransformers.
The dataset is the same as the one in your code (Yelp). And, yes, I meant 70,000 steps in each epoch (I use the default of 1).
from simpletransformers.
The only way to reduce the number of train steps per epoch is to increase the training batch size (or reduce the number of training samples).
The number of training steps per epoch is simply the number of samples divided by the batch size.
from simpletransformers.
Related Issues (20)
- ValueError: multiclass-multioutput is not supported HOT 6
- save_steps not working , checkpoint getting generated on every epoch morethan once HOT 2
- MMBT no longer supported by huggingface transformers. HOT 1
- Memory Leak Issue HOT 1
- `calculate_results` appears to only use the first correct answer, not all correct answers
- `ValueError` occurred with `representation_model`
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- saving pytorch_model.bin instead of safetensors HOT 1
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- Binary classification .predict raises a ValueError: could not broadcast input array from shape (2,2) into shape (1,2) HOT 3
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from simpletransformers.