sorsolingo-mt-en-bsl-test

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

• eval_loss: 4.5125
• eval_bleu: 25.1133
• eval_runtime: 24.4132
• eval_samples_per_second: 33.465
• eval_steps_per_second: 0.532
• epoch: 19.0
• step: 1957

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: 5e-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: 80
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.40.0
• Pytorch 2.2.1+cu121
• Datasets 2.19.0
• Tokenizers 0.19.1