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smrrazavian/comment-classification
This model is a fine-tuned version of HooshvareLab/roberta-fa-zwnj-base on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 7.6895
- Train Binary Accuracy: 0.5
- Epoch: 6
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': False, 'is_legacy_optimizer': False, 'learning_rate': 2e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Train Binary Accuracy | Epoch |
|---|---|---|
| 3.1049 | 0.5867 | 0 |
| 3.1394 | 0.6269 | 1 |
| 1.6424 | 0.6701 | 2 |
| 5.4100 | 0.5354 | 3 |
| 7.6543 | 0.5023 | 4 |
| 7.6847 | 0.5003 | 5 |
| 7.6895 | 0.5 | 6 |
Framework versions
- Transformers 4.34.1
- TensorFlow 2.12.0
- Tokenizers 0.14.1
