Comments (3)
Hi @Rexhaif I think your problem is on the models you are using. Have you tried these ones?
eamt22-cometinho-da
eamt22-prune-comet-da
The confusion is that the "first" versions of cometinho were actually trained for WMT 21. They are not distilled versions of larger COMET models but rather smaller encoders trained with the same data. Then for EAMT Conference we experimented with distillation of larger models (which allowed us to train the smaller encoder in much more data) those are the results presented in COMETINHO paper.
Sorry about the confusing names. I hope with this you are able to reproduce the results
from comet.
Hi, thanks for the clarification and the model names!
Are there any distilled/pruned COMETINHO models available that were trained on the MQM scores rather than the DA scores?
from comet.
Unfortunately no.
from comet.
Related Issues (20)
- pretrained_model setting in hparams.yaml has no effect HOT 1
- [QUESTION] Why does training speed go down? HOT 5
- Multi-GPU training HOT 10
- Using comet-mbr for Multi-Model Translation Ranking: Questions About Input Format and GPU Disabling HOT 3
- 504 Server error when running comet-score using multiple machines HOT 7
- Is `wmt22-comet-da` the same as "COMET-22" & trained on MQM data? HOT 2
- Quantization HOT 2
- TypeError: comet.models.utils.Prediction is not a dataclasss. This is a subclass of ModelOutput and so must use the @dataclass decorator. HOT 7
- Not compatible with recent transformers? HOT 3
- Comet Evaluation Metric Error with Command line Utility HOT 1
- Running the code on Mac
- whar aspects of language gets considered while evaluating the tranlsation by COMET. as far as I am aware of MQM metric sare covered in it. Interested to know other terminolofy/features of language gets in COMET. HOT 1
- what aspects of language get considered while evaluating the translation by COMET. as far as I am aware of MQM metrics are covered in it. Interested in knowing other terminology/features of language gets in COMET. I am looking for metric along with COMET that can assess the translated content for cosmetic domain data. please suggest. HOT 1
- [QUESTION] Train Your Own Metric HOT 2
- Multi-gpu inference returns AttributeError HOT 7
- Mismatch between error span and offsets HOT 2
- [QUESTION] Reliability for en-th and th-en pair HOT 2
- AttributeError: 'dict' object has no attribute 'scores' HOT 2
- [QUESTION] AttributeError: An error occurred during model prediction: 'dict' object has no attribute 'scores' HOT 5
- AttributeError: 'dict' object has no attribute 'scores' when using the model 'Unbabel/wmt22-cometkiwi-da' HOT 4
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from comet.