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_model-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: 13.8765

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