README.md

metadata

license: apache-2.0
base_model: facebook/bart-base
tags:
  - generated_from_trainer
datasets:
  - opus_books
metrics:
  - bleu
model-index:
  - name: en-to-es-trans-with-bart
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: opus_books
          type: opus_books
          config: en-es
          split: train
          args: en-es
        metrics:
          - name: Bleu
            type: bleu
            value: 2.1888

en-to-es-trans-with-bart

This model is a fine-tuned version of facebook/bart-base on the opus_books dataset. It achieves the following results on the evaluation set:

• Loss: 2.0355
• Bleu: 2.1888
• Gen Len: 18.6278

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: 2
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
2.4648	1.0	4674	2.1509	1.937	18.6399
2.2417	2.0	9348	2.0355	2.1888	18.6278

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu118
• Datasets 2.15.0
• Tokenizers 0.15.0