Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
week9-bert-finetuned – AI Model by juizodercio | AlphaNeural AI
You can deploy this model and start earning money today!
juizodercio
/
week9-bert-finetuned
like
0
transformers
safetensors
bert
token-classification
generated_from_trainer
google-bert/bert-base-cased
finetune
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
week9-bert-finetuned
This model is a fine-tuned version of
bert-base-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1129
Precision: 0.9039
Recall: 0.9173
F1: 0.9105
Accuracy: 0.9826
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: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.0483
1.0
878
0.0408
0.9255
0.9347
0.9301
0.9889
0.0190
2.0
1756
0.0374
0.9413
0.9475
0.9444
0.9909
0.0111
3.0
2634
0.0370
0.9442
0.9504
0.9472
0.9911
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
