kabelomalapane
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Tn-En_update

text2text-generation

generated_from_trainer

Inference Endpoints

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Tn-En_update

This model is a fine-tuned version of Helsinki-NLP/opus-mt-tn-en on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.2371
Bleu: 41.6029

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: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Bleu	Validation Loss
2.1976	1.0	7554	26.8684	2.1137
1.871	2.0	15108	30.6829	1.8089
1.7084	3.0	22662	33.3106	1.6236
1.5871	4.0	30216	36.3656	1.5039
1.4967	5.0	37770	37.2840	1.4182
1.429	6.0	45324	38.9794	1.3521
1.3629	7.0	52878	40.2757	1.2992
1.3444	8.0	60432	40.9979	1.2632
1.3069	9.0	67986	41.3006	1.2438
1.2745	10.0	75540	41.5511	1.2371

Framework versions

Transformers 4.21.1
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1

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Evaluation results

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