---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-th-en
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: opus-mt-th-en-finetuned-en-to-th
  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-th-en-finetuned-en-to-th

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-th-en](https://huggingface.co/Helsinki-NLP/opus-mt-th-en) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7468
- Bleu: 0.4565
- Gen Len: 112.35

## 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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| 2.6696        | 6.25  | 500  | 2.5634          | 0.1874 | 122.75  |
| 1.6018        | 12.5  | 1000 | 2.6129          | 0.4756 | 115.55  |
| 1.1813        | 18.75 | 1500 | 2.7468          | 0.4565 | 112.35  |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1