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Finetuned-ParsBERT-on-PersianQA – AI Model by tarane8 | AlphaNeural AI
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Finetuned-ParsBERT-on-PersianQA
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transformers
safetensors
bert
question-answering
generated_from_trainer
HooshvareLab/bert-fa-zwnj-base
finetune
apache-2.0
endpoints_compatible
us
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Finetuned-ParsBERT-on-PersianQA
This model is a fine-tuned version of
HooshvareLab/bert-fa-zwnj-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.4564
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
2.8675
1.0
1151
2.3873
1.9359
2.0
2302
2.2285
1.0902
3.0
3453
2.4564
Framework versions
Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.1
