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bert-base-arabert-finetuned-wikitext2 – AI Model by I042 | AlphaNeural AI
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I042
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bert-base-arabert-finetuned-wikitext2
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transformers
tf
tensorboard
safetensors
bert
text-generation
generated_from_keras_callback
aubmindlab/bert-base-arabert
finetune
autotrain_compatible
endpoints_compatible
us
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I042/bert-base-arabert-finetuned-wikitext2
This model is a fine-tuned version of
aubmindlab/bert-base-arabert
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 3.5692
Validation Loss: 3.0649
Epoch: 0
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:
optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32
Training results
Train Loss
Validation Loss
Epoch
3.5692
3.0649
0
Framework versions
Transformers 4.44.2
TensorFlow 2.17.0
Datasets 3.0.0
Tokenizers 0.19.1
