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---
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
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