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distilbert-fa-zwnj-base-finetuned-pquad-PersianQuAD – AI Model by Z-Jafari | AlphaNeural AI
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Z-Jafari
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distilbert-fa-zwnj-base-finetuned-pquad-PersianQuAD
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transformers
tensorboard
safetensors
distilbert
question-answering
generated_from_trainer
Gholamreza/distilbert-fa-zwnj-base-finetuned-pquad
finetune
apache-2.0
endpoints_compatible
us
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distilbert-fa-zwnj-base-finetuned-pquad-PersianQuAD
This model is a fine-tuned version of
Gholamreza/distilbert-fa-zwnj-base-finetuned-pquad
on an unknown dataset.
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
num_epochs: 3
mixed_precision_training: Native AMP
Training results
{ 'exact': 65.5,
'f1': 71.54387668799097,
'total': 1000,
'HasAns_exact': 65.5,
'HasAns_f1': 71.54387668799097,
'HasAns_total': 1000,
'best_exact': 65.5,
'best_exact_thresh': 0.0,
'best_f1': 71.54387668799097,
'best_f1_thresh': 0.0 }
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1
