---
library_name: transformers
model-index:
- name: tagalog-to-ilokano-model
  results: []
metrics:
- bleu
pipeline_tag: translation
language:
- tl
datasets:
- e-SALIN/Tagalog_to_Cebuano_Datasets
- e-SALIN/Tagalog_to_Waray_Datasets
- e-SALIN/Tagalog_to_Ilocano_Datasets
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# tagalog-to-ilokano-model

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-tl-en](https://huggingface.co/Helsinki-NLP/opus-mt-tl-en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 7.1122

## 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: 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 1    | 7.2316          |
| No log        | 2.0   | 2    | 7.1532          |
| No log        | 3.0   | 3    | 7.1122          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1