Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
bert-finetuned-ner – AI Model by joaomonteiro | AlphaNeural AI
You can deploy this model and start earning money today!
joaomonteiro
/
bert-finetuned-ner
like
0
transformers
pytorch
bert
token-classification
generated_from_trainer
google-bert/bert-base-cased
finetune
apache-2.0
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 None dataset. It achieves the following results on the evaluation set:
Loss: 2.6100
Precision: 0.0
Recall: 0.0
F1: 0.0
Accuracy: 0.2273
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
Precision
Recall
F1
Accuracy
No log
1.0
1
2.7593
0.0
0.0
0.0
0.0455
No log
2.0
2
2.6596
0.0
0.0
0.0
0.1136
No log
3.0
3
2.6100
0.0
0.0
0.0
0.2273
Framework versions
Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.5
Tokenizers 0.14.1
