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README.md

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 ### Gender Aware Translation
 
 Below are the evaluation results for gender aware translation evaluated on the [MT-GenEval](https://github.com/amazon-science/machine-translation-gender-eval?tab=readme-ov-file#mt-geneval) dataset ([Currey, A. et al.](https://github.com/amazon-science/machine-translation-gender-eval?tab=readme-ov-file#mt-geneval)). 
 These have been calculated for translation from English into German, Spanish, French, Italian, Portuguese and Russian and are compared against MADLAD400-7B, TowerInstruct-7B-v0.2 and the SalamandraTA-7b-base model.
 Evaluation was conducted using MT-Lens and is reported as accuracy computed using the accuracy metric provided with MT-GenEval.
 
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 |                        | Source   | Target   |   Masc |    Fem |   Pair |
 |:---------------------------------|:---------|:---------|-------:|-------:|-------:|
 | SalamandraTA-7b-instruct | en       | de      |  **0.8833333333333333** | **0.8833333333333333**  | **0.7733333333333333** |