README.md

metadata

license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-es
tags:
  - translation
  - generated_from_trainer
metrics:
  - bleu
model-index:
  - name: opus-mt-en-es-BDS-G1
    results: []

opus-mt-en-es-BDS-G1

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-es on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.9611
• Bleu: 51.5683
• Gen Len: 9.365

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

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
1.0722	1.0	625	0.9611	51.5683	9.365

Framework versions

• Transformers 4.36.2
• Pytorch 2.1.2+cu121
• Datasets 2.15.0
• Tokenizers 0.15.0