Hugging Face's logo

Ioana23
/
bert-finetuned-resumes-ner

Token Classification
Transformers
TensorFlow
bert
generated_from_keras_callback
Inference Endpoints
Model card Files Community
bert-finetuned-resumes-ner / README.md
Ioana23's picture
Ioana23
Training in progress epoch 3
78c2694
preview code
|
raw
history blame
1.78 kB
metadata
license: apache-2.0
base_model: bert-base-cased
tags:
  - generated_from_keras_callback
model-index:
  - name: Ioana23/bert-finetuned-resumes-ner
    results: []

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: 0.2746
  • Validation Loss: 0.4035
  • Epoch: 3

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: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'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}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
  • training_precision: mixed_float16

Training results

Train Loss Validation Loss Epoch
0.9009 0.6436 0
0.4589 0.4445 1
0.3555 0.3582 2
0.2746 0.4035 3

Framework versions

  • Transformers 4.32.1
  • TensorFlow 2.10.0
  • Datasets 2.14.4
  • Tokenizers 0.13.3