bert-binary-clf – AI Model by spyn4ch | AlphaNeural AI

You can deploy this model and start earning money today!

spyn4ch/
bert-binary-clf

like

0

text-classification

generated_from_trainer

google-bert/bert-base-uncased

endpoints_compatible

Views

No views yet

bert-binary-clf

This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1279
Accuracy: 0.9748
Precision: 0.9825
Recall: 0.9655
F1: 0.9739

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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.4681	1.0	30	0.3535	0.8824	0.8143	0.9828	0.8906
0.2283	2.0	60	0.1883	0.9412	0.9322	0.9483	0.9402
0.1144	3.0	90	0.1279	0.9748	0.9825	0.9655	0.9739
0.0695	4.0	120	0.1230	0.9580	0.9818	0.9310	0.9558

Framework versions

Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1