Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
bert-small-finetuned-ner-to-multilabel-wnut-17-new – AI Model by muhtasham | AlphaNeural AI
You can deploy this model and start earning money today!
muhtasham
/
bert-small-finetuned-ner-to-multilabel-wnut-17-new
like
0
transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
bert-small-finetuned-ner-to-multilabel-wnut-17-new
This model is a fine-tuned version of
google/bert_uncased_L-4_H-512_A-8
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2039
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: 3e-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: constant
num_epochs: 40
Training results
Training Loss
Epoch
Step
Validation Loss
0.2006
1.18
500
0.2043
0.1247
2.35
1000
0.1960
0.0935
3.53
1500
0.1893
0.0742
4.71
2000
0.2003
0.0552
5.88
2500
0.2106
0.0405
7.06
3000
0.2039
Framework versions
Transformers 4.21.2
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1
