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bert-base-bible2 – AI Model by zeon8985army | AlphaNeural AI
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bert-base-bible2
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
-
google-bert/bert-base-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bert-base-bible2
This model is a fine-tuned version of
bert-base-cased
on the BastianGroundTruth2 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
0.553
1.06
18
0.2484
1.0
0.1121
2.12
36
0.0025
1.0
0.0466
3.18
54
0.0008
1.0
0.0142
4.24
72
0.0005
1.0
0.0178
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
