metadata
library_name: transformers
license: apache-2.0
base_model: google-bert/bert-base-multilingual-cased
tags:
- generated_from_keras_callback
model-index:
- name: ru_propaganda_opposition_model_bert-base-multilingual-cased_2
results: []
ru_propaganda_opposition_model_bert-base-multilingual-cased_2
This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0041
- Validation Loss: 0.1379
- Train Accuracy: 0.9650
- Epoch: 4
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': 2565, '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 | Validation Loss | Train Accuracy | Epoch |
|---|---|---|---|
| 0.2685 | 0.1338 | 0.9452 | 0 |
| 0.0965 | 0.1149 | 0.9639 | 1 |
| 0.0373 | 0.1568 | 0.9518 | 2 |
| 0.0146 | 0.1263 | 0.9617 | 3 |
| 0.0041 | 0.1379 | 0.9650 | 4 |
Framework versions
- Transformers 4.44.2
- TensorFlow 2.17.0
- Datasets 3.1.0
- Tokenizers 0.19.1