README.md

metadata

license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-es
tags:
  - generated_from_trainer
metrics:
  - bleu
model-index:
  - name: opus-mt-en-es-finetuned-en-to-es
    results: []

opus-mt-en-es-finetuned-en-to-es

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

• Loss: 1.4315
• Bleu: 6.6029
• Gen Len: 53.3119

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: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
1.6733	1.0	37663	1.4315	6.6029	53.3119

Framework versions

• Transformers 4.37.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.1