metadata

license: apache-2.0
tags:
  - generated_from_keras_callback
model-index:
  - name: LovenOO/distilBERT_without_preprocessing_grid_search
    results: []

LovenOO/distilBERT_without_preprocessing_grid_search

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: 0.5456
Validation Loss: 0.5544
Train Precision: 0.6316
Train Recall: 0.6172
Train F1: 0.6214
Train Accuracy: 0.8435
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', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 5140, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_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 Precision	Train Recall	Train F1	Train Accuracy	Epoch
1.2437	0.6349	0.5675	0.5420	0.5499	0.8343	0
0.5456	0.5544	0.6316	0.6172	0.6214	0.8435	1

Framework versions

Transformers 4.24.0
TensorFlow 2.13.0
Datasets 2.14.2
Tokenizers 0.11.0