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--- |
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license: apache-2.0 |
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base_model: facebook/bart-base |
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tags: |
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- generated_from_trainer |
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datasets: |
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- opus_books |
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metrics: |
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- bleu |
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model-index: |
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- name: en-to-es-trans-with-bart |
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results: |
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- task: |
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name: Sequence-to-sequence Language Modeling |
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type: text2text-generation |
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dataset: |
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name: opus_books |
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type: opus_books |
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config: en-es |
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split: train |
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args: en-es |
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metrics: |
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- name: Bleu |
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type: bleu |
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value: 2.1888 |
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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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# en-to-es-trans-with-bart |
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the opus_books dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0355 |
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- Bleu: 2.1888 |
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- Gen Len: 18.6278 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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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: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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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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- num_epochs: 2 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:| |
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| 2.4648 | 1.0 | 4674 | 2.1509 | 1.937 | 18.6399 | |
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| 2.2417 | 2.0 | 9348 | 2.0355 | 2.1888 | 18.6278 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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