keras-io/sentiment-analysis

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keras-io/sentiment-analysis

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

• —Train Loss: 0.6865
• —Validation Loss: 0.7002
• —Train Accuracy: 0.4908
• —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', 'learningrate': 1e-04, 'decay': 0.0, 'beta1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
• —training_precision: float32

Training results

Framework versions

• —Transformers 4.16.2
• —TensorFlow 2.7.0
• —Datasets 1.18.2
• —Tokenizers 0.11.0