Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
bert-finetuned-resumes-ner – AI Model by Ioana23 | AlphaNeural AI | AlphaNeural AI
You can deploy this model and start earning money today!
Ioana23
/
bert-finetuned-resumes-ner
like
0
transformers
tf
bert
token-classification
generated_from_keras_callback
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
Ioana23/bert-finetuned-resumes-ner
This model is a fine-tuned version of
bert-base-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.1439
Validation Loss: 0.3965
Epoch: 8
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:
optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 500, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: mixed_float16
Training results
Train Loss
Validation Loss
Epoch
0.8008
0.5863
0
0.4590
0.4465
1
0.3443
0.3876
2
0.2827
0.3977
3
0.2285
0.3824
4
0.1962
0.3965
5
0.1699
0.3259
6
0.1559
0.4927
7
0.1439
0.3965
8
Framework versions
Transformers 4.32.1
TensorFlow 2.10.0
Datasets 2.14.4
Tokenizers 0.13.3
