---
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_loha
  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_loha

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: 2.6782
- Bleu: 34.6439
- Gen Len: 12.7435

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 400
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 2.8661        | 0.01  | 50   | 2.7221          | 34.6147 | 12.741  |
| 2.8564        | 0.02  | 100  | 2.7133          | 34.6112 | 12.7457 |
| 3.028         | 0.03  | 150  | 2.7043          | 34.6086 | 12.7529 |
| 2.8351        | 0.04  | 200  | 2.6960          | 34.612  | 12.7535 |
| 2.8428        | 0.05  | 250  | 2.6886          | 34.6251 | 12.7459 |
| 2.9846        | 0.06  | 300  | 2.6830          | 34.6364 | 12.7426 |
| 2.8809        | 0.07  | 350  | 2.6796          | 34.6433 | 12.7407 |
| 2.9782        | 0.08  | 400  | 2.6782          | 34.6439 | 12.7435 |


### Framework versions

- PEFT 0.10.1.dev0
- Transformers 4.40.1
- Pytorch 2.1.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1