metadata

license: apache-2.0
tags:
  - generated_from_keras_callback
model-index:
  - name: Electro98/my_awesome_model
    results: []

Electro98/my_awesome_model

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

Train Loss: 1.2971
Validation Loss: 1.3936
Train F1: {'f1': 0.4410685401391092}
Train Accuracy: {'accuracy': 0.5758245807997052}
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': 81390, '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 F1	Train Accuracy	Epoch
1.2971	1.3936	{'f1': 0.4410685401391092}	{'accuracy': 0.5758245807997052}	0

Framework versions

Transformers 4.27.4
TensorFlow 2.10.0
Datasets 2.18.0
Tokenizers 0.13.3