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bert-finetuned-ner

Token Classification
Transformers
TensorFlow
bert
generated_from_keras_callback
Inference Endpoints
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bert-finetuned-ner / README.md
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metadata
library_name: transformers
license: apache-2.0
base_model: bert-base-cased
tags:
  - generated_from_keras_callback
model-index:
  - name: dmabby/bert-finetuned-ner
    results: []

dmabby/bert-finetuned-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: 0.2425
  • Validation Loss: 0.0915
  • Epoch: 0

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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 375, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_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
0.2425 0.0915 0

Framework versions

  • Transformers 4.45.1
  • TensorFlow 2.17.0
  • Datasets 3.1.0
  • Tokenizers 0.20.0