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rinna-arabert-qa-ar2 – AI Model by Echiguerkh | AlphaNeural AI | AlphaNeural AI
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Echiguerkh
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rinna-arabert-qa-ar2
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transformers
pytorch
bert
question-answering
generated_from_trainer
arcd
aubmindlab/bert-base-arabertv02
finetune
endpoints_compatible
us
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rinna-arabert-qa-ar2
This model is a fine-tuned version of
aubmindlab/bert-base-arabertv02
on the arcd dataset. It achieves the following results on the evaluation set:
Loss: 5.9506
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: 0.01
train_batch_size: 2
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 10
Training results
Training Loss
Epoch
Step
Validation Loss
6.0221
6.92
150
5.9506
Framework versions
Transformers 4.32.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3
