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: []
language:
  - es
  - en
datasets:
  - tj-solergibert/SRV-Europarl-ST-processed-mt-en

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

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

• Loss: 0.8139
• Bleu: 51.2804
• Gen Len: 31.5269

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
0.853	1.0	4780	0.8139	51.2804	31.5269

Framework versions

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