Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
NER-for-female-names – AI Model by Xiaoman | AlphaNeural AI
You can deploy this model and start earning money today!
Xiaoman
/
NER-for-female-names
like
0
transformers
pytorch
tensorboard
bert
token-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
NER-for-female-names
This model is a fine-tuned version of
bert-large-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2606
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: 7.961395091713594e-05
train_batch_size: 32
eval_batch_size: 32
seed: 27
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
5
0.6371
No log
2.0
10
0.4213
No log
3.0
15
0.3227
No log
4.0
20
0.2867
No log
5.0
25
0.2606
Framework versions
Transformers 4.18.0
Pytorch 1.11.0+cu113
Tokenizers 0.12.1
