cartesinus/iva_mt_wslot-m2m100_418M-en-hi

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ivamtwslot-m2m100_418M-en-hi

This model is a fine-tuned version of facebook/m2m100_418M on the ivamtwslot dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0128
• —Bleu: 66.566
• —Gen Len: 21.9557

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 2e-05
• —trainbatchsize: 4
• —evalbatchsize: 4
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 7
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.28.1
• —Pytorch 2.0.1+cu118
• —Datasets 2.12.0
• —Tokenizers 0.13.3

Citation

If you use this model, please cite the following:

@article{Sowanski2023SlotLI,
  title={Slot Lost in Translation? Not Anymore: A Machine Translation Model for Virtual Assistants with Type-Independent Slot Transfer},
  author={Marcin Sowanski and Artur Janicki},
  journal={2023 30th International Conference on Systems, Signals and Image Processing (IWSSIP)},
  year={2023},
  pages={1-5}
}