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--- |
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license: apache-2.0 |
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language: |
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- en |
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- es |
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base_model: vgaraujov/bart-base-spanish |
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tags: |
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- generated_from_trainer |
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datasets: |
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- vgaraujov/wmt13 |
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metrics: |
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- bleu |
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model-index: |
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- name: bart-base-translation-en-es |
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results: |
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- task: |
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name: Translation |
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type: translation |
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dataset: |
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name: vgaraujov/wmt13 es-en |
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type: vgaraujov/wmt13 |
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config: es-en |
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split: validation |
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args: es-en |
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metrics: |
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- name: Bleu |
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type: bleu |
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value: 30.2194 |
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widget: |
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- text: Hey! I am BARTO for translation. |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# BARTO (base-sized model) for en-es translation |
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This model is a fine-tuned version of [BARTO](https://huggingface.co/vgaraujov/bart-base-spanish) on a small portion of [WMT13](https://huggingface.co/datasets/vgaraujov/wmt13) es-en dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7356 |
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- Bleu: 30.2194 |
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- Gen Len: 30.2714 |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.005 |
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- train_batch_size: 96 |
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- eval_batch_size: 96 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 384 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 40000 |
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- training_steps: 5000 |
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### Framework versions |
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- Transformers 4.33.0.dev0 |
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- Pytorch 2.0.1 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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