README.md

metadata

license: apache-2.0
tags:
  - generated_from_keras_callback
model-index:
  - name: MUmairAB/bert-based-MaskedLM
    results: []

MUmairAB/bert-based-MaskedLM

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: 2.5180
• Validation Loss: 2.3142
• Epoch: 9

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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': -60, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'passive_serialization': True}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
3.0754	2.7548	0
2.7969	2.6209	1
2.7214	2.5588	2
2.6626	2.5554	3
2.6466	2.4881	4
2.6238	2.4775	5
2.5696	2.4280	6
2.5504	2.3924	7
2.5171	2.3725	8
2.5180	2.3142	9

Framework versions

• Transformers 4.30.2
• TensorFlow 2.12.0
• Tokenizers 0.13.3