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opus-mt-en-hi-finetuned-en-to-hi – AI Model by muvva | AlphaNeural AI
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opus-mt-en-hi-finetuned-en-to-hi
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transformers
pytorch
marian
text2text-generation
generated_from_trainer
Helsinki-NLP/opus-mt-en-hi
finetune
apache-2.0
endpoints_compatible
us
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opus-mt-en-hi-finetuned-en-to-hi
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-en-hi
on the
hind_encorp
dataset. It achieves the following results on the evaluation set:
Loss: 3.1807
Bleu: 14.0103
Gen Len: 24.1149
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
3.3667
1.0
13695
3.1807
14.0103
24.1149
Framework versions
Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3
