Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
distilbert-base-uncased-finetuned-ner – AI Model by aaraki | AlphaNeural AI
You can deploy this model and start earning money today!
aaraki
/
distilbert-base-uncased-finetuned-ner
like
0
transformers
pytorch
tensorboard
distilbert
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
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: 0.0788
Precision: 0.8857
Recall: 0.9092
F1: 0.8973
Accuracy: 0.9775
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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.2473
1.0
878
0.0788
0.8857
0.9092
0.8973
0.9775
Framework versions
Transformers 4.17.0
Pytorch 1.10.0+cu111
Datasets 1.18.4
Tokenizers 0.11.6
