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bert-base-arabic-emotion-analysis-v2.model – AI Model by alpcansoydas | AlphaNeural AI
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alpcansoydas
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bert-base-arabic-emotion-analysis-v2.model
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
asafaya/bert-base-arabic
finetune
autotrain_compatible
endpoints_compatible
us
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bert-base-arabic-emotion-analysis-v2.model
This model is a fine-tuned version of
asafaya/bert-base-arabic
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5681
Accuracy: 0.8025
F1: 0.8032
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
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.9804
1.0
102
0.6430
0.7804
0.7823
0.5684
2.0
204
0.5897
0.7901
0.7899
0.4309
3.0
306
0.5681
0.8025
0.8032
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
