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results – AI Model by AbolfazlMomen | AlphaNeural AI
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
HooshvareLab/bert-base-parsbert-uncased
finetune
autotrain_compatible
endpoints_compatible
us
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This model is a fine-tuned version of
HooshvareLab/bert-base-parsbert-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4184
Accuracy: 0.8649
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: 5e-05
train_batch_size: 16
eval_batch_size: 16
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.3522
1.0
3257
0.3510
0.8636
0.2834
2.0
6514
0.3547
0.8701
0.2148
3.0
9771
0.4184
0.8649
Framework versions
Transformers 4.53.3
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.2
