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eole-nlp/wmt22-comet-da-eole-fp16
wmt22-comet-da-eole-fp16 is a machine learning model from eole-nlp. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for eole. The card lists the license as apache-2.0.
This is Unbabel/wmt22-comet-da converted to EOLE format.
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From the Hugging Face model README
This is Unbabel/wmt22-comet-da converted to EOLE format.
Model weights were dtype-cast to fp16 during EOLE conversion. This repository contains a format and dtype conversion for use with EOLE's native transformer_encoder_scorer implementation.
This is not an upstream unbabel-comet checkpoint layout. Use it with EOLE.
| Original model | Unbabel/wmt22-comet-da |
| EOLE architecture | transformer_encoder_scorer |
| Weight dtype | fp16 |
| Scoring type | comet |
| Class identifier | regression_metric |
| EOLE scorer | EOLE-COMET |
| Requires reference | Yes |
| Encoder | XLM-R large style encoder |
Requires an EOLE version with native COMET scorer support.
valid_metrics: ["EOLE-COMET"]
comet_model: eole-nlp/wmt22-comet-da-eole-fp16
comet_batch_size: 64
eole predict \
--model_path eole-nlp/wmt22-comet-da-eole-fp16 \
--src /path/to/src.txt \
--tgt /path/to/mt.txt \
--ref /path/to/ref.txt \
--output /path/to/scores.txt \
--with_score
By default, direct scoring writes one segment score per input line. To emit a
single aggregate system score, add --score_level system:
eole predict \
--model_path eole-nlp/wmt22-comet-da-eole-fp16 \
--src /path/to/src.txt \
--tgt /path/to/mt.txt \
--ref /path/to/ref.txt \
--output /path/to/system-score.txt \
--with_score \
--score_level system
score_level: system writes one numeric line containing the arithmetic mean of
the segment scores, similar to Unbabel COMET's --only_system mode but using
EOLE's score-file format.
Converted with:
eole convert COMET \
--model Unbabel/wmt22-comet-da \
--dtype fp16 \
--output wmt22-comet-da-eole-fp16
The fp32 EOLE conversion was parity-checked against the upstream Unbabel COMET runtime. On a 100-line WMT17 slice, native EOLE scoring matched the upstream baseline within floating point tolerance:
| Metric | Value |
|---|---|
| System score delta | 1.85e-08 |
| Sentence MAE | 5.42e-08 |
| Sentence max abs | 7.15e-07 |
The fp16 artifacts are intended to provide smaller EOLE model files and fp16 runtime behavior. Run the EOLE COMET parity harness against these fp16 repositories if exact fp16 deltas are required.
This model is a conversion of Unbabel/wmt22-comet-da. The model weights were converted to EOLE format and dtype-cast to fp16.
This converted repository follows the upstream model license: Apache-2.0. Please refer to the original model card and license for training data, intended use, limitations, and citation details.
Unbabel COMET: https://github.com/Unbabel/COMET