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mt5-small-hebrew-news-or – AI Model by virto | AlphaNeural AI
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virto
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mt5-small-hebrew-news-or
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transformers
pytorch
mt5
text2text-generation
generated_from_trainer
hebrew_news
apache-2.0
endpoints_compatible
us
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mt5-small-hebrew-news-or
This model is a fine-tuned version of
google/mt5-small
on the hebrew_news dataset. It achieves the following results on the evaluation set:
Loss: nan
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: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.0
1.0
4115
nan
0.0
2.0
8230
nan
Framework versions
Transformers 4.26.0
Pytorch 1.8.1+cu111
Datasets 2.9.0
Tokenizers 0.11.0