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opus-mt-en-to-bn

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metadata
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-inc
tags:
  - generated_from_trainer
metrics:
  - bleu
model-index:
  - name: opus-mt-en-inc-finetuned-en-to-bn-fp16
    results: []

opus-mt-en-inc-finetuned-en-to-bn-fp16

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-inc on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.8782
  • Bleu: 21.613
  • Gen Len: 21.9459

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: 1e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
1.9652 1.0 171895 1.8782 21.613 21.9459

Framework versions

  • Transformers 4.32.1
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3