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finetuned-opusmt-en-fr-hi – AI Model by ritika-kumar | AlphaNeural AI
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finetuned-opusmt-en-fr-hi
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transformers
safetensors
marian
text2text-generation
en
hi
ai4bharat/samanantar
apache-2.0
endpoints_compatible
us
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Finetuning
This model is a fine-tuned version of
Helsinki/opus-mt-en-fr
on the samanantar dataset. source group: English target group: Hindi model: transformer
Model description
Helsinki/opus-mt-en-fr finetuned for translation task in Hindi language
Training and evaluation data
ai4bharath/samanantar
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-5
warmup_steps: 500
gradient_accumulation_steps: 2
total_train_batch_size: 16
num_epochs: 3
Benchamark Evaluation
BLEU score on Tatoeba: 21.93456688254154
BLUE score on IN-22: 15.545328465618004
Framework versions
Transformers 4.42.3
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1
