finetuned-model

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: 1.0902
• Bleu: 42.2259
• Bert Score: 0.9004

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: 8
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Framework versions

• Transformers 4.34.1
• Pytorch 2.0.1
• Datasets 2.14.6
• Tokenizers 0.14.1