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---
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
|