---
license: apache-2.0
language:
- sv
- sq
tags:
- generated_from_trainer
- translation
metrics:
- bleu
model-index:
- name: mt-sq-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-sq-sv-finetuned

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-sq-sv](https://huggingface.co/Helsinki-NLP/opus-mt-sq-sv) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2250
- Bleu: 47.0111

## 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

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 1.7042        | 1.0   | 4219  | 1.4806          | 41.9650 |
| 1.5537        | 2.0   | 8438  | 1.3955          | 43.1524 |
| 1.4352        | 3.0   | 12657 | 1.3142          | 44.4373 |
| 1.3346        | 4.0   | 16876 | 1.2793          | 45.2265 |
| 1.2847        | 5.0   | 21095 | 1.2597          | 45.8071 |
| 1.2821        | 6.0   | 25314 | 1.2454          | 46.3737 |
| 1.2342        | 7.0   | 29533 | 1.2363          | 46.6308 |
| 1.2092        | 8.0   | 33752 | 1.2301          | 46.8227 |
| 1.1766        | 9.0   | 37971 | 1.2260          | 46.9719 |
| 1.1836        | 10.0  | 42190 | 1.2250          | 47.0111 |


### Framework versions

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