Distilbert Base Uncased Finetuned Cola

🚀 andreiliphdpr/distilbert-base-uncased-finetuned-cola

This model is a fine - tuned variant of distilbert-base-uncased on an unknown dataset. It attains the following outcomes on the evaluation set:

• Train Loss: 0.0015
• Train Accuracy: 0.9995
• Validation Loss: 0.0570
• Validation Accuracy: 0.9915
• Epoch: 4

🚀 Quick Start

This model is a fine - tuned version of distilbert-base-uncased. It can be used for relevant natural language processing tasks after appropriate fine - tuning.

📚 Documentation

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': 43750, '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

Framework versions

• Transformers 4.15.0.dev0
• TensorFlow 2.6.2
• Datasets 1.15.1
• Tokenizers 0.10.3

📄 License

This model is licensed under the Apache - 2.0 license.