
Original model	Unbabel/wmt22-comet-da
EOLE architecture	`transformer_encoder_scorer`
Scoring type	`comet`
Class identifier	`regression_metric`
EOLE scorer	`EOLE-COMET`
Requires reference	Yes
Encoder	XLM-R large style encoder

Usage

Requires an EOLE version with native COMET scorer support.

Validation Metric

yaml

valid_metrics: ["EOLE-COMET"]
comet_model: eole-nlp/wmt22-comet-da-eole
comet_batch_size: 64

Direct Scoring

bash

eole predict \
  --model_path eole-nlp/wmt22-comet-da-eole \
  --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:

bash

eole predict \
  --model_path eole-nlp/wmt22-comet-da-eole \
  --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.

Conversion

Converted with:

bash

eole convert COMET \
  --model Unbabel/wmt22-comet-da \
  --output wmt22-comet-da-eole

Parity

This 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`

Original Model and Attribution

This model is a conversion of Unbabel/wmt22-comet-da. The model weights were converted without modification.

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