opus-mt-es-en-finetuned_model-en-to-es

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

  • Loss: 1.9803
  • Bleu: 13.8765
  • Gen Len: 45.316

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: 5

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
2.5745 1.0 4674 2.3717 10.1245 46.0135
2.2901 2.0 9348 2.1461 12.2345 45.3126
2.1356 3.0 14022 2.0491 13.1754 45.496
2.0507 4.0 18696 1.9967 13.689 45.3156
2.0222 5.0 23370 1.9803 13.8765 45.316

Framework versions

  • Transformers 4.33.1
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.13.3
Downloads last month
31
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for hongjing0312/opus-mt-es-en-finetuned_model-en-to-es

Finetuned
(7)
this model

Dataset used to train hongjing0312/opus-mt-es-en-finetuned_model-en-to-es

Evaluation results