ru_propaganda_opposition_and_neutral_class_model

This model is a fine-tuned version of DeepPavlov/bert-base-bg-cs-pl-ru-cased on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.0003
• Validation Loss: 0.2057
• Train Accuracy: 0.9641
• 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': 20205, '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
0.2750	0.1328	0.9508	0
0.0855	0.1143	0.9599	1
0.0384	0.1684	0.9574	2
0.0284	0.1341	0.9633	3
0.0182	0.1238	0.9641	4
0.0107	0.2324	0.9558	5
0.0098	0.2588	0.9416	6
0.0056	0.1881	0.9599	7
0.0098	0.1994	0.9566	8
0.0016	0.1788	0.9599	9
0.0021	0.1861	0.9633	10
0.0004	0.1889	0.9666	11
0.0004	0.1988	0.9674	12
0.0005	0.1852	0.9708	13
0.0003	0.2057	0.9641	14

Framework versions

• Transformers 4.29.2
• TensorFlow 2.12.0
• Datasets 2.12.0
• Tokenizers 0.13.3