---
license: cc-by-4.0
base_model: Helsinki-NLP/opus-mt-tc-big-tr-en
tags:
- generated_from_trainer
datasets:
- opus_infopankki
metrics:
- bleu
model-index:
- name: opus-mt-tc-big-tr-en-finetuned-tr-to-en
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: opus_infopankki
      type: opus_infopankki
      config: en-tr
      split: train
      args: en-tr
    metrics:
    - name: Bleu
      type: bleu
      value: 50.6479
---

<!-- 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-tc-big-tr-en-finetuned-tr-to-en

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-tc-big-tr-en](https://huggingface.co/Helsinki-NLP/opus-mt-tc-big-tr-en) on the opus_infopankki dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7193
- Bleu: 50.6479
- Gen Len: 15.1365

## 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: 36
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 0.5846        | 1.0   | 2477 | 0.7193          | 50.6479 | 15.1365 |


### Framework versions

- Transformers 4.36.1
- Pytorch 2.0.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0