Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
bert-finetuned-ner – AI Model by aexms | AlphaNeural AI
You can deploy this model and start earning money today!
aexms
/
bert-finetuned-ner
like
0
transformers
safetensors
bert
token-classification
generated_from_trainer
BAAI/bge-small-en-v1.5
finetune
mit
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
bert-finetuned-ner
This model is a fine-tuned version of
BAAI/bge-small-en-v1.5
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0947
Precision: 0.8756
Recall: 0.9096
F1: 0.8923
Accuracy: 0.9770
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: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH 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
Precision
Recall
F1
Accuracy
0.326
1.0
625
0.1275
0.8302
0.8822
0.8554
0.9703
0.1238
2.0
1250
0.0981
0.8710
0.9040
0.8872
0.9760
0.0859
3.0
1875
0.0947
0.8756
0.9096
0.8923
0.9770
Framework versions
Transformers 4.53.3
Pytorch 2.6.0+cu124
Datasets 4.1.1
Tokenizers 0.21.2
