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marian-finetuned-en-map

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-map on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 1.0542
• eval_bleu: 30.0673
• eval_runtime: 870.8596
• eval_samples_per_second: 14.467
• eval_steps_per_second: 0.226
• epoch: 2.29
• step: 17104

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
• train_batch_size: 32
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.13.0
• Pytorch 1.10.0+cu111
• Datasets 1.16.1
• Tokenizers 0.10.3