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checkpoints – AI Model by kumarprashant556 | AlphaNeural AI

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kumarprashant556/
checkpoints

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text2text-generation

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endpoints_compatible

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checkpoints

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ro 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: 2e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.8.1+cpu
Datasets 2.8.0
Tokenizers 0.13.2