metadata

tags:
  - generated_from_keras_callback
model-index:
  - name: >-
      fassahat/Seethal-sentiment-analysis-generic-dataset-finetuned-150k-patent-sentences
    results: []

fassahat/Seethal-sentiment-analysis-generic-dataset-finetuned-150k-patent-sentences

This model is a fine-tuned version of Seethal/sentiment_analysis_generic_dataset on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 0.5186
Validation Loss: 0.4563
Train Accuracy: 0.8225
Epoch: 0

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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 22500, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
training_precision: float32

Training results

Train Loss	Validation Loss	Train Accuracy	Epoch
0.5186	0.4563	0.8225	0

Framework versions

Transformers 4.23.1
TensorFlow 2.9.2
Datasets 2.6.1
Tokenizers 0.13.1