Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
bert-base-uncased_train_v1 – AI Model by OliverHeine | AlphaNeural AI
You can deploy this model and start earning money today!
OliverHeine
/
bert-base-uncased_train_v1
like
0
transformers
safetensors
bert
text-classification
generated_from_trainer
google-bert/bert-base-uncased
finetune
apache-2.0
text-embeddings-inference
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
bert-base-uncased_train_v1
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: 0.0359
Accuracy: 0.9941
F1: 0.9891
Precision: 0.9942
Recall: 0.9841
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: 32
eval_batch_size: 32
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
0.0243
1.0
4087
0.0318
0.9928
0.9866
0.9972
0.9762
0.0388
2.0
8174
0.0292
0.9936
0.9882
0.9980
0.9786
0.0066
3.0
12261
0.0359
0.9941
0.9891
0.9942
0.9841
Framework versions
Transformers 5.3.0
Pytorch 2.10.0+cu128
Datasets 4.6.1
Tokenizers 0.22.2
