---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: Helsinki-NLP/opus-mt-sla-en
metrics:
- bleu
model-index:
- name: translation_slo_eng_opus-mt-sla-en_prompt_tuning
  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. -->

# translation_slo_eng_opus-mt-sla-en_prompt_tuning

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-sla-en](https://huggingface.co/Helsinki-NLP/opus-mt-sla-en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 5.1830
- Bleu: 0.3807
- Gen Len: 13.9075

## 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: 0.003
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| 5.4024        | 1.0   | 2500 | 5.1830          | 0.3807 | 13.9075 |


### Framework versions

- PEFT 0.11.1
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1