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finetuned_Helsinki-NLP-mr-en – AI Model by anujsahani01 | AlphaNeural AI

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finetuned_Helsinki-NLP-mr-en

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finetuned_Helsinki-NLP-mr-en

This model is a fine-tuned version of Helsinki-NLP/opus-mt-mr-en on the None dataset.

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: 0.0005
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
training_steps: 10000

Training results

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3