sevvalkapcak/model2

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: 0.0243
• Validation Loss: 0.2900
• Train Accuracy: 0.9315
• 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', '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': 5e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Validation Loss	Train Accuracy	Epoch
0.3784	0.1846	0.9225	0
0.1372	0.1524	0.937	1
0.1077	0.1561	0.933	2
0.0970	0.1525	0.9355	3
0.0830	0.1944	0.9285	4
0.0652	0.1864	0.9265	5
0.0510	0.2117	0.9365	6
0.0462	0.2221	0.9335	7
0.0409	0.1977	0.9375	8
0.0243	0.2900	0.9315	9

Framework versions

• Transformers 4.35.2
• TensorFlow 2.15.0
• Datasets 2.16.1
• Tokenizers 0.15.1