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PreCOMET-diff

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  1. .gitattributes +1 -0
  2. README.md +110 -0
  3. checkpoints/model.ckpt +3 -0
  4. hparams.yaml +28 -0
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ checkpoints/ filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ pipeline_tag: translation
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+ language:
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+ - multilingual
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+ - af
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+ - am
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+ - ar
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+ - as
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+ - az
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+ - be
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+ - bg
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+ - bs
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+ - ca
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+ - cs
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+ - cy
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+ - da
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+ - de
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+ - el
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+ - en
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+ - eo
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+ - es
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+ - et
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+ - eu
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+ - fa
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+ - fi
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+ - fr
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+ - la
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+ - mg
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+ - ml
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+ - mn
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+ - ms
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+ - my
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+ - 'no'
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+ - th
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+ - tr
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+ - ug
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+ - uk
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+ - ur
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+ - uz
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+ - vi
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+ - xh
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+ - yi
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+ - zh
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+ license: apache-2.0
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+ base_model:
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+ - FacebookAI/xlm-roberta-large
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+ ---
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+
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+ # PreCOMET-diff
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+
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+ This is a source-only COMET model used for efficient evaluation subset selection.
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+ It is not compatible with the upstream [github.com/Unbabel/COMET/](https://github.com/Unbabel/COMET/) and to run it you have to install [github.com/zouharvi/PreCOMET](https://github.com/zouharvi/PreCOMET).
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+
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+ The primary use of this model is from the [subset2evaluate](https://github.com/zouharvi/subset2evaluate) package.
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+
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+ Further description TODO.
checkpoints/model.ckpt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:b113d66d38a10bd6890cffec19e555352ccb7f78b03c850c54c6e7029c39ed36
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+ size 2252341410
hparams.yaml ADDED
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+ nr_frozen_epochs: 0.3
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+ keep_embeddings_frozen: true
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+ optimizer: AdamW
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+ warmup_steps: 0
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+ encoder_learning_rate: 1.0e-06
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+ learning_rate: 1.5e-05
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+ layerwise_decay: 0.95
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+ encoder_model: XLM-RoBERTa
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+ pretrained_model: xlm-roberta-large
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+ pool: avg
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+ layer: mix
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+ layer_transformation: sparsemax
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+ layer_norm: false
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+ loss: mse
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+ dropout: 0.1
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+ batch_size: 16
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+ train_data:
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+ - data/csv/train_diff.csv
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+ validation_data:
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+ - data/csv/dev_diff.csv
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+ class_identifier: hypothesisless_regression_metric
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+ load_pretrained_weights: true
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+ local_files_only: false
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+ hidden_sizes:
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+ - 2048
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+ - 1024
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+ activations: Tanh
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+ final_activation: null