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

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

• Loss: 0.5851
• Bleu: 71.1382
• Gen Len: 10.3225

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

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	112	0.5693	71.7823	10.3676
No log	2.0	224	0.5744	69.5504	10.6739
No log	3.0	336	0.5784	71.6553	10.3117
No log	4.0	448	0.5826	71.0576	10.3261
0.2666	5.0	560	0.5851	71.1382	10.3225

Framework versions

• Transformers 4.16.2
• Pytorch 1.9.1
• Datasets 1.18.4
• Tokenizers 0.11.6