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bert-base-parsbert-uncased-finetuned-khorshid – AI Model by Hamid-reza | AlphaNeural AI
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bert-base-parsbert-uncased-finetuned-khorshid
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transformers
pytorch
tensorboard
bert
fill-mask
generated_from_trainer
autotrain_compatible
endpoints_compatible
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bert-base-parsbert-uncased-finetuned-khorshid
This model is a fine-tuned version of
HooshvareLab/bert-base-parsbert-uncased
on
a sentiment analysis dataset of Hala-Khorshid T.V program
dataset. It achieves the following results on the evaluation set:
Loss: 4.1739
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
4.7733
1.0
285
4.4369
4.2875
2.0
570
4.3070
4.132
3.0
855
4.1908
Framework versions
Transformers 4.25.1
Pytorch 1.13.1+cu116
Datasets 2.8.0
Tokenizers 0.13.2
