---
library_name: transformers
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-mul-en
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: my_yoruba_translator_new1
  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. -->

# my_yoruba_translator_new1

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: 2.4760
- Bleu: 19.1364
- Gen Len: 24.5459

## 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: 32
- eval_batch_size: 32
- 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: 6
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log        | 1.0   | 252  | 2.6553          | 17.4458 | 25.2511 |
| 2.9795        | 2.0   | 504  | 2.5441          | 18.4384 | 26.4764 |
| 2.9795        | 3.0   | 756  | 2.5060          | 18.9805 | 24.5285 |
| 2.3359        | 4.0   | 1008 | 2.4875          | 19.0552 | 25.3161 |
| 2.3359        | 5.0   | 1260 | 2.4766          | 19.2483 | 25.4734 |
| 2.1524        | 6.0   | 1512 | 2.4760          | 19.1364 | 24.5459 |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.4.0
- Datasets 3.1.0
- Tokenizers 0.20.3