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: 1.2793
{'exact_match': 76.4, 'f1': 80.32654181211116}
augmented rows: 6365

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
0.8826	1.0	1689	1.0662
0.5239	2.0	3378	1.1213
0.3026	3.0	5067	1.2793

Framework versions

Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1

Z-Jafari/bert-fa-base-uncased-finetuned-Gemma3_Scored-scr-0.65-sim-0.9

bert-fa-base-uncased-finetuned-Gemma3_Scored-scr-0.65-sim-0.9

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Z-Jafari/
bert-fa-base-uncased-finetuned-Gemma3_Scored-scr-0.65-sim-0.9