---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-es
tags:
- generated_from_trainer
datasets:
- kde4
metrics:
- bleu
model-index:
- name: finetuned-model
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: kde4
      type: kde4
      config: en-es
      split: train
      args: en-es
    metrics:
    - name: Bleu
      type: bleu
      value: 42.22590503762825
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# finetuned-model

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-es](https://huggingface.co./Helsinki-NLP/opus-mt-en-es) on the kde4 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0902
- Bleu: 42.2259
- Bert Score: 0.9004

## 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: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results



### Framework versions

- Transformers 4.34.1
- Pytorch 2.0.1
- Datasets 2.14.6
- Tokenizers 0.14.1