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arabert-large-finetuned-sentiment-analysis – AI Model by AlyGreo | AlphaNeural AI
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AlyGreo
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arabert-large-finetuned-sentiment-analysis
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
aubmindlab/bert-base-arabertv2
finetune
autotrain_compatible
endpoints_compatible
us
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arabert-large-finetuned-sentiment-analysis
This model is a fine-tuned version of
aubmindlab/bert-base-arabertv2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.7905
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: 0.0002
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
training_steps: 10
Training results
Training Loss
Epoch
Step
Validation Loss
0.9166
0.0
2
0.6761
0.628
0.01
4
0.6767
0.6367
0.01
6
0.6816
0.6504
0.02
8
0.7792
0.6936
0.02
10
0.7905
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
