opus-mt-en-es-finetuned-en-to-es

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

• Loss: 1.1438
• Bleu: 36.1767
• Gen Len: 33.8762

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: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
1.177	1.0	2988	1.1417	36.1355	34.0324
1.0871	2.0	5976	1.1396	35.9725	33.7839
1.0245	3.0	8964	1.1403	35.8792	33.7635
0.9782	4.0	11952	1.1426	36.172	33.8807
0.9349	5.0	14940	1.1438	36.1767	33.8762

Framework versions

• Transformers 4.37.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.1