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hebrew-mt5-small – AI Model by dozornii | AlphaNeural AI
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dozornii
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hebrew-mt5-small
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
google/mt5-small
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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hebrew-mt5-small
This model is a fine-tuned version of
google/mt5-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 52.9797
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
1
53.0190
No log
2.0
2
52.9983
No log
3.0
3
52.9797
Framework versions
Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0
