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my_yoruba_translator – AI Model by Harcuracy | AlphaNeural AI
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Harcuracy
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my_yoruba_translator
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transformers
tensorboard
safetensors
marian
text2text-generation
generated_from_trainer
Helsinki-NLP/opus-mt-mul-en
finetune
apache-2.0
endpoints_compatible
us
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my_yoruba_translator
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-mul-en
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.7065
Bleu: 16.2183
Gen Len: 23.6638
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: 32
eval_batch_size: 32
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
No log
1.0
202
2.7593
15.5412
23.5509
No log
2.0
404
2.7065
16.2183
23.6638
Framework versions
Transformers 4.46.3
Pytorch 2.4.0
Datasets 3.1.0
Tokenizers 0.20.3
