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leetcoder-qa
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 4.1922
- Validation Loss: 3.8900
- 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': 2e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 6.3985 | 4.7493 | 0 |
| 4.8760 | 4.4969 | 1 |
| 4.7016 | 4.3654 | 2 |
| 4.5848 | 4.2650 | 3 |
| 4.5086 | 4.1827 | 4 |
| 4.4307 | 4.1106 | 5 |
| 4.3581 | 4.0471 | 6 |
| 4.2923 | 3.9898 | 7 |
| 4.2397 | 3.9375 | 8 |
| 4.1922 | 3.8900 | 9 |
Framework versions
- Transformers 4.30.1
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3
