Comments (3)
The code works perfectly well for the previous checkpoint bleurt-base-128 but seems to fail for the latest checkpoint of BLEURT-20. So the error may be a result of some compatibility issues between the code and the newly trained model?
from bleurt.
Hi, thanks a lot for your feedback!
Unfortunately this is correct - the fine-tuning library does not work with the latest checkpoints, as it relies on BERT-specific code (BLEURT-20 uses RemBERT, not BERT). We will update the doc to reflect this.
from bleurt.
Thanks for the great work!
I'm trying to finetune BLEURT-20 and encountering the same problem, wondering if this issue has been solved? Or where can I modify to fix it?
Any help would be appreciated~
from bleurt.
Related Issues (20)
- queestion HOT 1
- Code for Section 4 of the paper HOT 1
- Reproducing table 2 results HOT 1
- issue
- Results mismatch using released BLEURT-Large-128 HOT 6
- WMT metric shared dataset download error
- Wrong Issues
- About fine tune
- About the range of BLEURT scores. HOT 1
- Interpreting Bleurt scores HOT 1
- db_builder.py add support for WMT20? HOT 1
- Optimising BLEURT for large dataset HOT 1
- Install with pip fails
- How to load rembert distilled models? HOT 1
- BLUERT for Spanish
- BLEURT consumes all available memory on checkpoint load?
- Issue with loading fine-tuned BLEURT
- How to use multiple reference with BLEURT? HOT 1
- What tensorflow versions are possible? HOT 1
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