---
library_name: transformers
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-mul-en
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: en_to_dzo_helsinki_mul_mt_nlp_m4
  results: []
---

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# en_to_dzo_helsinki_mul_mt_nlp_m4

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-mul-en](https://huggingface.co/Helsinki-NLP/opus-mt-mul-en) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0005
- Bleu: 7.6407
- Gen Len: 45.3393

## 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-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| 1.2015        | 1.0   | 562  | 1.1373          | 4.1298 | 43.9209 |
| 1.1012        | 2.0   | 1124 | 1.0725          | 3.8796 | 46.5185 |
| 1.0195        | 3.0   | 1686 | 1.0360          | 3.3934 | 45.3944 |
| 0.9609        | 4.0   | 2248 | 1.0045          | 7.1881 | 45.7678 |
| 0.9163        | 5.0   | 2810 | 1.0005          | 7.6407 | 45.3393 |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0