joe5campbell/Horovod_Tweet_Sentiment_10k_5eps

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HorovodTweetSentiment10k5eps

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, 'learningrate': 0.0003, 'decay': 0.0, 'beta1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
• —training_precision: float32

Training results

Framework versions

• —Transformers 4.17.0
• —TensorFlow 2.6.0
• —Tokenizers 0.11.6