Fine-tuned Spanish PLMs
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BARTO (base-sized model) for en-es translation
This model is a fine-tuned version of BARTO on a small portion of WMT13 es-en dataset. It achieves the following results on the evaluation set:
- Loss: 1.7356
- Bleu: 30.2194
- Gen Len: 30.2714
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.005
- train_batch_size: 96
- eval_batch_size: 96
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 384
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 40000
- training_steps: 5000
Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3
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Finetuned from
Dataset used to train vgaraujov/bart-base-translation-en-es
Collection including vgaraujov/bart-base-translation-en-es
Evaluation results
- Bleu on vgaraujov/wmt13 es-envalidation set self-reported30.219