---
language:
- hr
- sv
- multilingual
license: apache-2.0
tags:
- generated_from_trainer
- translation
model-index:
- name: mt-hr-sv-finetuned
  results: []
---

<!-- 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. -->

# mt-hr-sv-finetuned

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-hr-sv](https://huggingface.co/Helsinki-NLP/opus-mt-hr-sv) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.9565
- eval_bleu: 49.8248
- eval_runtime: 873.8605
- eval_samples_per_second: 16.982
- eval_steps_per_second: 4.246
- epoch: 5.0
- step: 27825

## 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: 5e-06
- train_batch_size: 24
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.25.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.6.1
- Tokenizers 0.13.1