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metadata
license: apache-2.0
tags:
  - generated_from_keras_callback
model-index:
  - name: BERT_Tweet_Sentiment_100k_2eps
    results: []

BERT_Tweet_Sentiment_100k_2eps

This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 0.1259
  • Train Accuracy: 0.9542
  • Validation Loss: 0.6133
  • Validation Accuracy: 0.8315
  • Epoch: 1

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', 'clipnorm': 1.0, 'learning_rate': 3e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
  • training_precision: float32

Training results

Train Loss Train Accuracy Validation Loss Validation Accuracy Epoch
0.3330 0.8562 0.3847 0.8415 0
0.1259 0.9542 0.6133 0.8315 1

Framework versions

  • Transformers 4.16.2
  • TensorFlow 2.8.0
  • Tokenizers 0.11.0