sentiment-analysis / README.md
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Librarian Bot: Add base_model information to model (#1)
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metadata
license: apache-2.0
tags:
  - generated_from_keras_callback
base_model: distilbert-base-uncased
model-index:
  - name: keras-io/sentiment-analysis
    results: []

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', 'learning_rate': 1e-04, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
  • training_precision: float32

Training results

Train Loss Validation Loss Train Accuracy Epoch
0.6865 0.6975 0.4908 0
0.6865 0.6973 0.4908 1
0.6865 0.6976 0.4908 2
0.6865 0.6975 0.4908 3
0.6865 0.7002 0.4908 4

Framework versions

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