Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
bert-base-multilingual-cased-finetuned-PersianQuAD-wiki_ds_Scored-scr-0.65-sim-0.9 – AI Model by Z-Jafari | AlphaNeural AI
You can deploy this model and start earning money today!
Z-Jafari
/
bert-base-multilingual-cased-finetuned-PersianQuAD-wiki_ds_Scored-scr-0.65-sim-0.9
like
0
transformers
tensorboard
safetensors
bert
question-answering
generated_from_trainer
google-bert/bert-base-multilingual-cased
finetune
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
bert-base-multilingual-cased-finetuned-PersianQuAD-wiki_ds_Scored-scr-0.65-sim-0.9
This model is a fine-tuned version of
google-bert/bert-base-multilingual-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.9772
{'exact_match': 78.1, 'f1': 81.67474414474411}
augmented dataset rows: 22823
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
Training results
Training Loss
Epoch
Step
Validation Loss
0.5607
1.0
3473
0.8475
0.3727
2.0
6946
0.8765
0.2302
3.0
10419
0.9772
Framework versions
Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
