gor1/my_awesome_model_tweets_A1

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: 0.1364
• Validation Loss: 0.1090
• Train Accuracy: 0.9923
• Epoch: 14

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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 80, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Validation Loss	Train Accuracy	Epoch
0.6748	0.6426	0.6692	0
0.6347	0.6105	0.6692	1
0.6120	0.5834	0.6692	2
0.5860	0.5503	0.6692	3
0.5398	0.5131	0.6923	4
0.5049	0.4603	0.8	5
0.4635	0.4081	0.8538	6
0.4086	0.3537	0.8923	7
0.3432	0.2976	0.9231	8
0.2994	0.2467	0.9308	9
0.2575	0.2037	0.9615	10
0.2125	0.1705	0.9846	11
0.1821	0.1441	0.9923	12
0.1518	0.1239	0.9923	13
0.1364	0.1090	0.9923	14

Framework versions

• Transformers 4.28.1
• TensorFlow 2.12.0
• Datasets 2.11.0
• Tokenizers 0.13.3