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---
license: cc-by-4.0
base_model: Helsinki-NLP/opus-mt-tc-big-en-tr
tags:
- translation
- generated_from_trainer
datasets:
- tatoeba
metrics:
- bleu
model-index:
- name: opus-mt-tc-big-en-tr
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: tatoeba
type: tatoeba
config: en-tr
split: train
args: en-tr
metrics:
- name: Bleu
type: bleu
value: 54.405510741899164
---
<!-- 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-en-tr
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-tc-big-en-tr](https://huggingface.co/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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