gor1/my_awesome_model_tweets_A2

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: 0.1092
• Validation Loss: 0.0892
• Train Accuracy: 1.0
• 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
0.6905	0.6443	0.6692	0
0.6335	0.6095	0.6692	1
0.6049	0.5792	0.6692	2
0.5833	0.5375	0.6692	3
0.5253	0.4871	0.7846	4
0.4834	0.4300	0.8308	5
0.4283	0.3692	0.8769	6
0.3737	0.3106	0.9154	7
0.3157	0.2593	0.9615	8
0.2583	0.2084	0.9692	9
0.2192	0.1693	0.9769	10
0.1775	0.1398	1.0	11
0.1464	0.1172	1.0	12
0.1310	0.1009	1.0	13
0.1092	0.0892	1.0	14

Framework versions

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