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bert-finetuned-ASAP-AEStask

Text Classification
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bert
generated_from_keras_callback
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bert-finetuned-ASAP-AEStask / README.md
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metadata
license: apache-2.0
base_model: bert-base-cased
tags:
  - generated_from_keras_callback
model-index:
  - name: raoel/bert-finetuned-ASAP-AEStask
    results: []

raoel/bert-finetuned-ASAP-AEStask

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: 0.3250
  • Epoch: 4

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': 3e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
  • training_precision: float32

Training results

Train Loss Epoch
1.1863 0
0.8763 1
0.7140 2
0.5078 3
0.3250 4

Framework versions

  • Transformers 4.33.0
  • TensorFlow 2.12.0
  • Datasets 2.1.0
  • Tokenizers 0.13.3