eduardopds/distilbert-base-uncased-tweets

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: 0.7428
• Validation Loss: 0.9322
• 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': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 310, '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	Epoch
1.0162	1.0010	0
0.9552	0.9574	1
0.8928	0.9393	2
0.8238	0.9412	3
0.7581	0.9322	4
0.7268	0.9322	5
0.7310	0.9322	6
0.7390	0.9322	7
0.7423	0.9322	8
0.7428	0.9322	9

Framework versions

• Transformers 4.19.2
• TensorFlow 2.8.0
• Datasets 2.2.2
• Tokenizers 0.12.1