Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
bert-finetuned-ner – AI Model by SebastianS | AlphaNeural AI
You can deploy this model and start earning money today!
SebastianS
/
bert-finetuned-ner
like
0
transformers
pytorch
tensorboard
bert
token-classification
generated_from_trainer
conll2003
apache-2.0
model-index
autotrain_compatible
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
bert-base-cased
on the conll2003 dataset. It achieves the following results on the evaluation set:
Loss: 0.0452
Accuracy: 0.9911
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.0544
1.0
1756
0.0440
0.9892
0.0246
2.0
3512
0.0417
0.9906
0.0105
3.0
5268
0.0452
0.9911
Framework versions
Transformers 4.18.0
Pytorch 1.11.0+cu113
Datasets 2.1.0
Tokenizers 0.12.1
