Model_1_v2 – AI Model by ferric-gravity | AlphaNeural AI

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ferric-gravity/
Model_1_v2

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text-classification

generated_from_trainer

google-bert/bert-base-uncased

autotrain_compatible

endpoints_compatible

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Model_1_v2

This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0936
Accuracy: 0.9753
F1: 0.9753
Roc Auc: 0.9753

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_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Roc Auc
No log	1.0	64	0.1913	0.9348	0.9346	0.9333
0.3434	2.0	128	0.1091	0.9674	0.9674	0.9673
0.1176	3.0	192	0.0972	0.9733	0.9733	0.9733
0.07	4.0	256	0.0959	0.9733	0.9733	0.9732
0.0491	5.0	320	0.0936	0.9753	0.9753	0.9753

Framework versions

Transformers 4.56.0
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.0