mt-lt-sv-finetuned

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

• Loss: 1.1276
• Bleu: 43.0025

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: 5e-06
• train_batch_size: 24
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu
1.3499	1.0	4409	1.2304	40.3211
1.2442	2.0	8818	1.1870	41.4633
1.1875	3.0	13227	1.1652	41.9164
1.1386	4.0	17636	1.1523	42.3534
1.0949	5.0	22045	1.1423	42.6339
1.0739	6.0	26454	1.1373	42.7617
1.0402	7.0	30863	1.1324	42.8568
1.0369	8.0	35272	1.1298	42.9608
1.0138	9.0	39681	1.1281	42.9833
1.0192	10.0	44090	1.1276	43.0025

Framework versions

• Transformers 4.25.0.dev0
• Pytorch 1.13.0+cu117
• Datasets 2.6.1
• Tokenizers 0.13.1