---
library_name: transformers
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-ca-en
tags:
- translation
- generated_from_trainer
datasets:
- kde4
metrics:
- bleu
model-index:
- name: opus-mt-ca-en-ft-kde4-mt-ca-en
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: kde4
      type: kde4
      config: ca-en
      split: train
      args: ca-en
    metrics:
    - name: Bleu
      type: bleu
      value: 67.67792228946597
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# opus-mt-ca-en-ft-kde4-mt-ca-en

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ca-en](https://huggingface.co/Helsinki-NLP/opus-mt-ca-en) on the kde4 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5999
- Model Preparation Time: 0.0033
- Bleu: 67.6779

## 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: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1