transformers pytorch marian text2text-generation generated_from_trainer translation lt sv license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
language:
- lt
- sv
license: apache-2.0
metrics:
- bleu
tags:
- generated_from_trainer
- translation
model-index:
- name: mt-lt-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-lt-sv-finetuned

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-lt-sv](https://huggingface.co/Helsinki-NLP/opus-mt-lt-sv) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1276
- Bleu: 43.0025

## 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    |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 1.3499        | 1.0   | 4409  | 1.2304          | 40.3211 |
| 1.2442        | 2.0   | 8818  | 1.1870          | 41.4633 |
| 1.1875        | 3.0   | 13227 | 1.1652          | 41.9164 |
| 1.1386        | 4.0   | 17636 | 1.1523          | 42.3534 |
| 1.0949        | 5.0   | 22045 | 1.1423          | 42.6339 |
| 1.0739        | 6.0   | 26454 | 1.1373          | 42.7617 |
| 1.0402        | 7.0   | 30863 | 1.1324          | 42.8568 |
| 1.0369        | 8.0   | 35272 | 1.1298          | 42.9608 |
| 1.0138        | 9.0   | 39681 | 1.1281          | 42.9833 |
| 1.0192        | 10.0  | 44090 | 1.1276          | 43.0025 |


### Framework versions

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