This model is a fine-tuned version of bert-base-cased on the BastianGroundTruth3-numbers-train2 dataset. It achieves the following results on the evaluation set:

Loss: 0.0004
Accuracy: 1.0

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: 6e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 18
training_steps: 90
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.644	1.06	18	0.5059	0.6522
0.2423	2.12	36	0.0233	1.0
0.0291	3.18	54	0.0011	1.0
0.0042	4.24	72	0.0005	1.0
0.0015	5.29	90	0.0004	1.0

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.0
Tokenizers 0.15.0

zeon8985army/bert-base-bible3-numbers

bert-base-bible3-numbers

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

zeon8985army/
bert-base-bible3-numbers