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# 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

{"license": "cc-by-4.0", "tags": ["generated_from_trainer"], "datasets": ["opus_infopankki"], "metrics": ["bleu"], "base_model": "Helsinki-NLP/opus-mt-tc-big-tr-en", "model-index": [{"name": "opus-mt-tc-big-tr-en-finetuned-tr-to-en", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "opus_infopankki", "type": "opus_infopankki", "config": "en-tr", "split": "train", "args": "en-tr"}, "metrics": [{"type": "bleu", "value": 50.6479, "name": "Bleu"}]}]}]}
transformers safetensors marian text2text-generation generated_from_trainer dataset:opus_infopankki base_model:Helsinki-NLP/opus-mt-tc-big-tr-en license:cc-by-4.0 model-index autotrain_compatible endpoints_compatible region:us