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bert-base-arabert-finetuned-mdeberta-tn-v2 – AI Model by betteib | AlphaNeural AI
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bert-base-arabert-finetuned-mdeberta-tn-v2
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transformers
tensorboard
safetensors
bert
fill-mask
generated_from_trainer
aubmindlab/bert-base-arabert
finetune
autotrain_compatible
endpoints_compatible
us
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bert-base-arabert-finetuned-mdeberta-tn-v2
This model is a fine-tuned version of
aubmindlab/bert-base-arabert
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.7103
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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
4.7489
1.0
157
4.0242
3.9609
2.0
314
3.7539
3.7823
3.0
471
3.7103
Framework versions
Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2
