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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
should probably proofread and complete it, then remove this comment. -->
# 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 |