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

beratcmn/opus-mt-tc-big-tr-en-finetuned

opus-mt-tc-big-tr-en-finetuned-tr-to-en

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

beratcmn/
opus-mt-tc-big-tr-en-finetuned