metadata

license: apache-2.0
base_model: Helsinki-NLP/opus-mt-es-en
tags:
  - generated_from_trainer
datasets:
  - opus_books
metrics:
  - bleu
model-index:
  - name: opus-mt-es-en-finetuned-en-to-es
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: opus_books
          type: opus_books
          config: en-es
          split: train
          args: en-es
        metrics:
          - name: Bleu
            type: bleu
            value: 12.6368

opus-mt-es-en-finetuned-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: 2.0963
Bleu: 12.6368
Gen Len: 45.2439

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: 32
eval_batch_size: 32
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
2.7993	1.0	2337	2.5049	9.0673	46.0969
2.434	2.0	4674	2.2687	10.9353	45.3797
2.2723	3.0	7011	2.1639	11.9589	45.3567
2.1979	4.0	9348	2.1117	12.4972	45.4107
2.1644	5.0	11685	2.0963	12.6368	45.2439

Framework versions

Transformers 4.33.1
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3