metadata

license: apache-2.0
tags:
  - generated_from_keras_callback
base_model: bert-base-uncased
model-index:
  - name: BERT_Tweet_Sentiment_TEST
    results: []

BERT_Tweet_Sentiment_TEST

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: 0.5541
Train Accuracy: 0.9375
Validation Loss: 0.6546
Validation Accuracy: 1.0
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': 3e-05, '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
0.6902	0.625	0.6677	1.0	0
0.5541	0.9375	0.6546	1.0	1

Framework versions

Transformers 4.16.2
TensorFlow 2.8.0
Tokenizers 0.11.0