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arabert-large-algerian – AI Model by M-ARBY | AlphaNeural AI
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arabert-large-algerian
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
CAMeL-Lab/bert-base-arabic-camelbert-ca-sentiment
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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arabert-large-algerian
This model is a fine-tuned version of
CAMeL-Lab/bert-base-arabic-camelbert-ca-sentiment
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.9673
Accuracy: {'accuracy': 0.56}
F1score: {'f1': 0.5573651188151455}
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 40
num_epochs: 2
Training results
Framework versions
Transformers 4.35.2
Pytorch 2.1.0.dev20230621+cu117
Datasets 2.17.0
Tokenizers 0.15.2
