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 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
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Model tree for beratcmn/opus-mt-tc-big-tr-en-finetuned
Base model
Helsinki-NLP/opus-mt-tc-big-tr-enDataset used to train beratcmn/opus-mt-tc-big-tr-en-finetuned
Evaluation results
- Bleu on opus_infopankkiself-reported50.648