Nso-En_update3

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

• Loss: 2.6854
• Bleu: 21.2223

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	Validation Loss	Bleu
3.5054	1.0	1734	3.1912	16.5243
3.0368	2.0	3468	2.9680	18.0237
2.6866	3.0	5202	2.8594	19.5515
2.51	4.0	6936	2.7916	20.1468
2.3754	5.0	8670	2.7438	20.0535
2.2534	6.0	10404	2.7186	20.7329
2.144	7.0	12138	2.7034	20.9116
2.0709	8.0	13872	2.6945	21.0866
2.0191	9.0	15606	2.6880	21.1577
1.9973	10.0	17340	2.6854	21.1386

Framework versions

• Transformers 4.20.1
• Pytorch 1.12.0+cu113
• Datasets 2.3.2
• Tokenizers 0.12.1