---
license: apache-2.0
base_model: Helsinki-NLP/opus-tatoeba-en-tr
tags:
- generated_from_trainer
model-index:
- name: opus-tatoeba-en-tr-finetuned-en-to-tr
  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-tatoeba-en-tr-finetuned-en-to-tr

This model is a fine-tuned version of [Helsinki-NLP/opus-tatoeba-en-tr](https://huggingface.co/Helsinki-NLP/opus-tatoeba-en-tr) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9614

## 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: 48
- eval_batch_size: 48
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- label_smoothing_factor: 0.1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.4658        | 1.0   | 4287 | 2.9614          |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.3.0
- Datasets 2.14.6
- Tokenizers 0.19.1