Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
distilbert-base-uncased-finetuned-ner – AI Model by cogito233 | AlphaNeural AI
You can deploy this model and start earning money today!
cogito233
/
distilbert-base-uncased-finetuned-ner
like
0
transformers
pytorch
tensorboard
distilbert
token-classification
generated_from_trainer
conll2003
apache-2.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
distilbert-base-uncased-finetuned-ner
This model is a fine-tuned version of
distilbert-base-uncased
on the conll2003 dataset. It achieves the following results on the evaluation set:
Loss: 0.0605
Precision: 0.9251
Recall: 0.9357
F1: 0.9304
Accuracy: 0.9837
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: 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
Precision
Recall
F1
Accuracy
0.2402
1.0
878
0.0694
0.9168
0.9215
0.9191
0.9814
0.051
2.0
1756
0.0595
0.9249
0.9330
0.9289
0.9833
0.0302
3.0
2634
0.0605
0.9251
0.9357
0.9304
0.9837
Framework versions
Transformers 4.9.2
Pytorch 1.9.0+cu102
Datasets 1.11.0
Tokenizers 0.10.3
