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Helsinki-NLP-opus-mt-mul-en-finetuned-hi-to-en – AI Model by guldasta | AlphaNeural AI
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Helsinki-NLP-opus-mt-mul-en-finetuned-hi-to-en
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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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Helsinki-NLP-opus-mt-mul-en-finetuned-hi-to-en
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: 2.7201
Bleu: 0.1097
Gen Len: 23.8365
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: 16
eval_batch_size: 16
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: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
3.547
1.0
625
2.7201
0.1097
23.8365
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
