opus-mt-finetuned-en-es

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

• Loss: 1.9813
• Bleu: 21.5636
• Gen Len: 30.0992

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: 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
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
2.09	1.0	4382	1.9813	21.5636	30.0992

Framework versions

• Transformers 4.12.5
• Pytorch 1.10.0+cu111
• Datasets 1.16.1
• Tokenizers 0.10.3