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AlQalam – AI Model by omar-atef | AlphaNeural AI
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AlQalam
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transformers
pytorch
t5
text2text-generation
generated_from_trainer
text-generation-inference
endpoints_compatible
us
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AlQalam
This model is a fine-tuned version of
ahmeddbahaa/AraT5-base-finetune-ar-xlsum
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.0638
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: 0.0005
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
1.2838
1.0
1678
1.1437
1.1376
2.0
3356
1.0913
1.0027
3.0
5034
1.0693
0.9342
4.0
6712
1.0588
0.8767
5.0
8390
1.0638
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3