---
license: apache-2.0
tags:
- generated_from_trainer
base_model: Helsinki-NLP/opus-mt-en-id
model-index:
- name: opus-mt-ft-v3-3-epochs
  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-ft-v3-3-epochs

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-id](https://huggingface.co/Helsinki-NLP/opus-mt-en-id) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2314
- Exact Match: 0.96

## 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: 8
- eval_batch_size: 8
- 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 | Exact Match |
|:-------------:|:-----:|:----:|:---------------:|:-----------:|
| 0.9771        | 1.0   | 50   | 0.3639          | 0.8925      |
| 0.3385        | 2.0   | 100  | 0.2544          | 0.935       |
| 0.2745        | 3.0   | 150  | 0.2314          | 0.96        |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1