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Horovod_Tweet_Sentiment_10k_5eps

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: 0.7210579
  • Train Accuracy: 0.5
  • Validation Loss: 0.6863412
  • Validation Accuracy: 0.54062504
  • 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': 0.0003, '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
0.7117643 0.4796875 0.7163932 0.459375 0
0.7210579 0.5 0.6863412 0.54062504 1

Framework versions

  • Transformers 4.17.0
  • TensorFlow 2.6.0
  • Tokenizers 0.11.6
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