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t5-En-Ar-translator – AI Model by NeutrinoPit | AlphaNeural AI
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t5-En-Ar-translator
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
flax-community/arabic-t5-small
finetune
text-generation-inference
endpoints_compatible
us
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Model card
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t5-en-ar-translator
This model is a fine-tuned version of
flax-community/arabic-t5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2102
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: 0.0002
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
34
0.2017
No log
2.0
68
0.1872
No log
3.0
102
0.1843
No log
4.0
136
0.2112
No log
5.0
170
0.2102
Framework versions
Transformers 4.50.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
