opus-mt-tc-big-en-tr
This model is a fine-tuned version of Helsinki-NLP/opus-mt-tc-big-en-tr on the tatoeba dataset. It achieves the following results on the evaluation set:
- Loss: 0.5573
- Bleu: 54.4055
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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for ckartal/opus-mt-tc-big-en-tr
Base model
Helsinki-NLP/opus-mt-tc-big-en-tr