opus-mt-en-es-finetuned-es-to-pbb-v0.1

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

• Loss: 1.7969
• Bleu: 1.5951
• Gen Len: 90.2946

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: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	194	2.5441	0.4291	116.186
No log	2.0	388	2.2092	0.6579	93.4866
2.6835	3.0	582	2.0599	0.698	96.8631
2.6835	4.0	776	1.9695	1.0624	90.817
2.6835	5.0	970	1.9087	1.0183	92.7232
1.9199	6.0	1164	1.8623	1.2926	90.9807
1.9199	7.0	1358	1.8342	1.3107	92.122
1.7744	8.0	1552	1.8145	1.3784	90.314
1.7744	9.0	1746	1.8020	1.4162	90.8006
1.7744	10.0	1940	1.7969	1.5951	90.2946

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.4
• Tokenizers 0.13.3