Comments (1)
If you could check the code, the random seed is fixed. So the sampled data is the same.
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Related Issues (20)
- tcmalloc: large alloc 44581601280 bytes HOT 1
- I want to know what 102 means HOT 5
- Can you provide all back translation data? HOT 7
- hyper-parameters HOT 1
- About args.val-iterations. HOT 1
- reproducing results for BERT baseline HOT 1
- How to use other models such as DistilBert or RoBerta? HOT 1
- About dataset construction HOT 1
- Changing the sequence length for BERT & performance on data with multi-class labels. HOT 3
- Parameter problem
- TypeError: init_weights() missing 1 required positional argument: 'module' HOT 1
- attention mask HOT 1
- How to use the method for bert ner task? HOT 1
- Not using entropy minimization loss in the final model? HOT 1
- KeyError: unlabeled_train_iter.next() HOT 4
- AttributeError: 'BertConfig' object has no attribute 'chunk_size_feed_forward' HOT 2
- yml file of environment
- 库的版本信息不明确,无法复现代码 HOT 1
- The pre-processed Yahoo Answer dataset HOT 2
- Cannot find the pre-processed dataset Yahoo Answer in the shared link
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