README.md

metadata

license: apache-2.0
tags:
  - generated_from_keras_callback
model-index:
  - name: HASAN55/distilberto
    results: []

HASAN55/distilberto

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: 0.5621
• Train End Logits Accuracy: 0.8351
• Train Start Logits Accuracy: 0.8011
• Validation Loss: 0.0
• Validation End Logits Accuracy: 0.0
• Validation Start Logits Accuracy: 0.0
• Epoch: 3

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': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 24664, '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, 'weight_decay_rate': 0.01}
• training_precision: mixed_float16

Training results

Train Loss	Train End Logits Accuracy	Train Start Logits Accuracy	Validation Loss	Validation End Logits Accuracy	Validation Start Logits Accuracy	Epoch
1.4589	0.6168	0.5825	0.0	0.0	0.0	0
0.9226	0.7424	0.7063	0.0	0.0	0.0	1
0.7011	0.7983	0.7638	0.0	0.0	0.0	2
0.5621	0.8351	0.8011	0.0	0.0	0.0	3

Framework versions

• Transformers 4.27.4
• TensorFlow 2.12.0
• Datasets 2.11.0
• Tokenizers 0.13.3