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metadata
license: mit
base_model: FacebookAI/roberta-large
tags:
  - generated_from_keras_callback
model-index:
  - name: ner-test
    results: []

ner-test

This model is a fine-tuned version of FacebookAI/roberta-large on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 0.1164
  • Validation Loss: 0.0878
  • Train Precision: 0.8442
  • Train Recall: 0.8358
  • Train F1: 0.8400
  • Train Accuracy: 0.9718
  • 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': 4795, '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: float32

Training results

Train Loss Validation Loss Train Precision Train Recall Train F1 Train Accuracy Epoch
0.1164 0.0878 0.8442 0.8358 0.8400 0.9718 0

Framework versions

  • Transformers 4.35.2
  • TensorFlow 2.15.0
  • Datasets 2.17.1
  • Tokenizers 0.15.2