vedantjumle/manasi

This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.9757
• Train Accuracy: 0.7839
• Epoch: 18

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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 480, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Train Accuracy	Epoch
2.7486	0.4271	0
2.2633	0.4297	1
2.1244	0.4284	2
2.0740	0.4258	3
2.0444	0.4323	4
2.0005	0.4922	5
1.9095	0.5169	6
1.7609	0.5924	7
1.6275	0.6484	8
1.4806	0.6706	9
1.3658	0.7005	10
1.2600	0.7409	11
1.1962	0.7487	12
1.1222	0.7487	13
1.0866	0.7721	14
1.0440	0.7786	15
1.0203	0.7839	16
1.0053	0.7852	17
0.9757	0.7839	18

Framework versions

• Transformers 4.34.0
• TensorFlow 2.13.0
• Datasets 2.14.5
• Tokenizers 0.14.1