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Repoo/relation_between_two_sentences
This model is a fine-tuned version of bert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.1074
- Validation Loss: 1.0986
- Train Accuracy: 0.3419
- 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': 0.001, '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 |
|---|---|---|---|
| 1.1794 | 1.1038 | 0.3187 | 0 |
| 1.1724 | 1.0996 | 0.3402 | 1 |
| 1.1570 | 1.1092 | 0.3427 | 2 |
| 1.1470 | 1.0993 | 0.3411 | 3 |
| 1.1145 | 1.1131 | 0.3419 | 4 |
| 1.1042 | 1.1027 | 0.3171 | 5 |
| 1.1060 | 1.0988 | 0.3402 | 6 |
| 1.1073 | 1.1132 | 0.3411 | 7 |
| 1.1074 | 1.0997 | 0.3411 | 8 |
| 1.1074 | 1.0986 | 0.3419 | 9 |
Framework versions
- Transformers 4.30.2
- TensorFlow 2.12.0
- Datasets 2.1.0
- Tokenizers 0.13.3
