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ar2enCkptfromgendata – AI Model by Shularp | AlphaNeural AI
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Shularp
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ar2enCkptfromgendata
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transformers
pytorch
marian
text2text-generation
translation
generated_from_trainer
endpoints_compatible
us
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ar2enCkptfromgendata
This model is a fine-tuned version of
Botnoi/ckpt_marian_mt_ar_en_health
on the None dataset. It achieves the following results on the evaluation set:
eval_loss: 0.6314
eval_bleu: 58.9030
eval_runtime: 9.7332
eval_samples_per_second: 25.788
eval_steps_per_second: 1.644
epoch: 3.0
step: 111
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: 3
mixed_precision_training: Native AMP
Framework versions
Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2
