Comments (4)
Yes, I just mean I won't add feature to directly train on text files without huggingface/datasets.
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Well - I think this is the solution: https://huggingface.co/docs/datasets/loading_datasets.html#text-files
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Hi PhilipMay
This is a repo for my personal research and there is no plan of adding feature to train or finetune on only text files.
And yes, the link you pasted is the only solution currently.
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there is no plan of adding feature to train or finetune on only text files.
I would like to understand what you exactly mean by this. As far as I understand I could use the solution from above to load a textfile as data and continue pretraining from a stored checkpoint. Is that right?
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Related Issues (20)
- How do I extract and save the discriminator from the checkpoint? HOT 3
- GPU utilization falls back to 0% when training with multiple GPUs HOT 5
- Sequence length too long for `ELECTRADataProcessor`. HOT 3
- Small typo in the README.md HOT 1
- How do I continue language model training? HOT 3
- How can I pretrain ELECTRA starting from weights from google ? HOT 9
- Is multi_task.py in a working state and if so how should one use it? HOT 1
- Is it possible to perform the fine-tuning within the HuggingFace library? HOT 3
- How to load the cached data from ELECTRAProcessor? HOT 1
- 如何多卡并行训练模型(How to train multi-card models in parallel?) HOT 1
- Training time and ++ version HOT 1
- Pyarrow dataloading issue HOT 2
- Use different tokenizer (and specify special tokens) HOT 1
- SST-2 accuracy is 50% after finetuning HOT 10
- Relative importance of different "tricks" in README HOT 1
- NameError: name 'sort_by_run' is not defined HOT 2
- Custom Dataset
- License info is required
- Python version
- Restarting from previous checkpoint
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