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Curiousfox/
helsinki_new_ver3

Name: helsinki_new_ver3
Availability: InStock

generated_from_trainer

nan

mozilla-foundation/common_voice_17_0

apache-2.0

endpoints_compatible

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helsinki_new_ver3

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ZH on the mozilla-foundation/common_voice_17_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.7044
Bleu: 2.2015

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
0.9675	0.32	1000	1.0573	0.7690
0.9217	0.64	2000	0.9924	1.3531
0.8782	0.96	3000	0.9463	1.8407
0.8377	1.28	4000	0.9078	3.0190
0.8304	1.6	5000	0.8765	2.1759
0.8114	1.92	6000	0.8479	3.2072
0.7735	2.24	7000	0.8247	4.0669
0.7667	2.56	8000	0.8051	5.6676
0.7547	2.88	9000	0.7882	4.2755
0.7151	3.2	10000	0.7712	5.7800
0.7103	3.52	11000	0.7591	6.0659
0.7095	3.84	12000	0.7458	7.0038
0.7044	4.16	13000	0.7351	1.7120
0.6717	4.48	14000	0.7250	8.0104
0.6856	4.8	15000	0.7169	2.1741
0.6755	5.12	16000	0.7097	2.1614
0.6635	5.44	17000	0.7044	2.2015

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.5.1
Tokenizers 0.21.1

Curiousfox/helsinki_new_ver3

helsinki_new_ver3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Curiousfox/
helsinki_new_ver3