hensinki-en-es-finetuned-english-to-spanish-tateoba

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: 0.5236
• Bleu: 58.629
• Gen Len: 8.6642

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
0.5416	1.0	7069	0.5150	58.2349	8.6272
0.457	2.0	14138	0.5116	58.5559	8.6372
0.4021	3.0	21207	0.5172	58.7017	8.6416
0.3477	4.0	28276	0.5202	58.6269	8.6579
0.3254	5.0	35345	0.5236	58.629	8.6642

Framework versions

• Transformers 4.38.2
• Pytorch 2.1.0+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2