opus-mt-es-en-scielo

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

• Loss: 1.2593
• Bleu: 40.8788

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: 5.6e-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: 2
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu
1.4277	1.0	10001	1.3473	40.5849
1.2007	2.0	20002	1.3146	41.3308

Framework versions

• Transformers 4.18.0
• Pytorch 1.11.0
• Datasets 2.1.0
• Tokenizers 0.12.1