YSKartal's picture
Training in progress epoch 5
e3c3969
metadata
license: apache-2.0
tags:
  - generated_from_keras_callback
model-index:
  - name: YSKartal/bert-base-cased-finetuned-ref_disam
    results: []

YSKartal/bert-base-cased-finetuned-ref_disam

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: 5.2706
  • Validation Loss: 6.4898
  • Train Accuracy: 0.0484
  • Epoch: 5

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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 10352, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
  • training_precision: float32

Training results

Train Loss Validation Loss Train Accuracy Epoch
7.0987 7.2119 0.0133 0
6.2071 6.8066 0.0271 1
5.6562 6.5590 0.0410 2
5.3508 6.4898 0.0484 3
5.2693 6.4898 0.0484 4
5.2706 6.4898 0.0484 5

Framework versions

  • Transformers 4.27.3
  • TensorFlow 2.11.0
  • Datasets 2.10.1
  • Tokenizers 0.13.2