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Curiousfox/
helsinki_new_ver2

Name: helsinki_new_ver2
Availability: InStock

generated_from_trainer

nan

sarahwei/Taiwanese-Minnan-Sutiau

apache-2.0

endpoints_compatible

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helsinki_new_ver2

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ZH on the sarahwei/Taiwanese-Minnan-Sutiau dataset. It achieves the following results on the evaluation set:

Loss: 0.6670
Bleu: 1.5307

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: 1e-06
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
training_steps: 23000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu
0.8583	0.4230	1000	0.9198	0.1959
0.7889	0.8460	2000	0.8619	0.1895
0.7595	1.2690	3000	0.8263	0.9704
0.7098	1.6920	4000	0.7982	1.0918
0.6963	2.1151	5000	0.7757	1.1072
0.6818	2.5381	6000	0.7568	1.1531
0.6642	2.9611	7000	0.7403	1.2418
0.659	3.3841	8000	0.7262	1.5448
0.6287	3.8071	9000	0.7135	1.3160
0.6251	4.2301	10000	0.7020	1.4177
0.6079	4.6531	11000	0.6918	1.7637
0.6003	5.0761	12000	0.6825	1.3500
0.5874	5.4992	13000	0.6743	1.5090
0.5941	5.9222	14000	0.6670	1.5307

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.5.1
Tokenizers 0.21.1

Curiousfox/helsinki_new_ver2

helsinki_new_ver2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Curiousfox/
helsinki_new_ver2