---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: opus-mt-mul-en-finetuned-lfn-to-en
  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. -->

# opus-mt-mul-en-finetuned-lfn-to-en

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-mul-en](https://huggingface.co/Helsinki-NLP/opus-mt-mul-en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6492
- Bleu: 60.0647
- Gen Len: 8.5545

## 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: 64
- eval_batch_size: 64
- 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    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log        | 1.0   | 145  | 0.7224          | 55.1224 | 8.4971  |
| No log        | 2.0   | 290  | 0.6699          | 58.0064 | 8.5156  |
| No log        | 3.0   | 435  | 0.6526          | 59.1039 | 8.5165  |
| 0.6334        | 4.0   | 580  | 0.6482          | 59.0726 | 8.5973  |
| 0.6334        | 5.0   | 725  | 0.6454          | 59.0775 | 8.5593  |
| 0.6334        | 6.0   | 870  | 0.6450          | 59.4424 | 8.5535  |
| 0.3496        | 7.0   | 1015 | 0.6452          | 60.0632 | 8.5311  |
| 0.3496        | 8.0   | 1160 | 0.6477          | 60.2116 | 8.5593  |
| 0.3496        | 9.0   | 1305 | 0.6489          | 59.9325 | 8.5545  |
| 0.3496        | 10.0  | 1450 | 0.6492          | 60.0647 | 8.5545  |


### Framework versions

- Transformers 4.27.3
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2