tst-gun-gub-pt

This model is a fine-tuned version of /content/opus-mt-en-mul on the tiagoblima/translation-pt-indigenouns dataset. It achieves the following results on the evaluation set:

• Loss: 1.8158
• Bleu: 8.5368
• Gen Len: 59.24

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-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
2.4421	0.29	4000	2.5285	3.3785	68.48
2.1667	0.59	8000	2.3018	4.5883	58.6
2.0255	0.88	12000	2.1290	5.1052	67.3
1.8995	1.18	16000	2.0535	7.8429	55.48
1.8322	1.47	20000	1.9960	7.2663	58.24
1.7868	1.77	24000	1.9224	7.0981	66.34
1.7012	2.06	28000	1.8869	7.5657	60.3
1.6773	2.36	32000	1.8613	7.9888	61.18
1.6631	2.65	36000	1.8354	8.0862	60.5
1.6379	2.94	40000	1.8158	8.4077	60.18

Framework versions

• Transformers 4.34.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.14.1