README.md

metadata

library_name: transformers
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-es
tags:
  - translation
  - generated_from_trainer
datasets:
  - kde4
metrics:
  - bleu
model-index:
  - name: finetuned-kde4-en-to-es
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: kde4
          type: kde4
          config: en-es
          split: train
          args: en-es
        metrics:
          - name: Bleu
            type: bleu
            value: 45.74241637023073

finetuned-kde4-en-to-es

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-es on the kde4 dataset. It achieves the following results on the evaluation set:

• Loss: 0.7671
• Bleu: 45.7424

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: 32
• eval_batch_size: 64
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.51.3
• Pytorch 2.6.0+cu124
• Datasets 3.5.0
• Tokenizers 0.21.1