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bert-fa-base-uncased-clf-persiannews-finetuned-snappfood – AI Model by TheMehrad | AlphaNeural AI
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bert-fa-base-uncased-clf-persiannews-finetuned-snappfood
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
HooshvareLab/bert-fa-base-uncased-clf-persiannews
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bert-fa-base-uncased-clf-persiannews-finetuned-snappfood
This model is a fine-tuned version of
HooshvareLab/bert-fa-base-uncased-clf-persiannews
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4676
Accuracy: 0.786
F1: 0.7859
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: 64
eval_batch_size: 64
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.6466
1.0
16
0.5278
0.747
0.7468
0.4919
2.0
32
0.4676
0.786
0.7859
Framework versions
Transformers 4.53.0
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.2
