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bert-fa-base-uncased_PersianQuAD_Factoid_Test-ignoreTestSplit – AI Model by Z-Jafari | AlphaNeural AI
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bert-fa-base-uncased_PersianQuAD_Factoid_Test-ignoreTestSplit
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transformers
safetensors
bert
question-answering
generated_from_trainer
fa
Z-Jafari/PersianQuAD_Factoid_Test
HooshvareLab/bert-fa-base-uncased
finetune
apache-2.0
endpoints_compatible
us
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PersianQuAD_Factoid_Test-ignoreTestSplit
This model is a fine-tuned version of
HooshvareLab/bert-fa-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.0399
{'exact_match': 64.27289048473968, 'f1': 78.48890846973964}
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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
fp16 = True
Training results
Training Loss
Epoch
Step
Validation Loss
1.1633
1.0
1043
0.9435
0.6982
2.0
2086
0.9281
0.4266
3.0
3129
1.0399
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
