Comments (3)
kocmitom
commented on May 9, 2024
1
Hi Ricardo,
Oh, I really apologize, I should not be working nights. Thank you for your clarification.
Have a lovely end of the year!
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ricardorei
commented on May 9, 2024
Hi Tom, the default model is the reference-based model (wmt20-comet-da same as wmt-large-da-estimator-1719 from previous versions). The reference-free models are "tagged" with the qe on the name, e.g: wmt20-comet-qe-da.
The naming comet-da only has to do with the fact that the model was trained to predict DA z-scores.
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ricardorei
commented on May 9, 2024
This is the exact same model you used on your paper Ship not to ship:
What you used as COMET in your tables is the same as wmt20-comet-da and the COMET-src is the wmt20-comet-qe-da.
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Related Issues (20)
- if tgt is same with src, the score is still high HOT 2
- [QUESTION] Train UnifiedMetric/XCOMET with word level predictions. HOT 1
- Sparsemax not actually used in COMET-KIWI, XCOMET-XL/XXL HOT 4
- Invalid link reference of reference-free model in readme
- Minimizing cpu RAM vs only use GPU RAM HOT 1
- what is the precision when load_from_checkpoint?
- Runtime error when loading wmt23-cometkiwi-da-xl HOT 1
- Different scores from different COMET package versions 1.1.2 and 2.2.1 HOT 2
- Different versions of COMET code give different scores with the same model and date.
- [QUESTION] large file scoring HOT 3
- [QUESTION] Splitting big models over multiple GPUs HOT 6
- [QUESTION] Memory footprint HOT 21
- [INPUT] Text Length of Input (source, reference, and hypothesis) HOT 2
- Change the global variable logger to comet_logger HOT 1
- Training script for XCOMET HOT 1
- Safetensors Support
- [QUESTION] OOM when load XCOMET-XXL in A100 with 40G memory for prediction HOT 4
- [QUESTION] why num_layers = num_hidden_layers + 1 HOT 1
- [QUESTION] Comet kiwi architecture HOT 8
- Training data and scripts used for wmt22-cometkiwi-da HOT 3
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