En-Ts – AI Model by kabelomalapane | AlphaNeural AI

You can deploy this model and start earning money today!

kabelomalapane/
En-Ts

like

0

text2text-generation

generated_from_trainer

endpoints_compatible

Views

No views yet

En-Ts

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

Before training:

Loss: 3.17
Bleu: 14.513

After Training

Loss: 1.3320
Bleu: 36.7687

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: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu
1.7082	1.0	5929	1.6902	32.1311
1.4606	2.0	11858	1.4996	34.1129
1.3182	3.0	17787	1.4107	35.7428
1.2543	4.0	23716	1.3631	36.2009
1.2116	5.0	29645	1.3389	36.5876
1.1723	6.0	35574	1.3320	36.7481

Framework versions

Transformers 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1