minhnb/ssbc_model_spearman
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0819
- Validation Loss: 0.2328
- Train Spearmanr: 0.8350
- 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': False, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 4960, '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 Spearmanr | Epoch |
---|---|---|---|
0.8155 | 0.3068 | 0.7769 | 0 |
0.2629 | 0.2419 | 0.8209 | 1 |
0.2026 | 0.2604 | 0.8161 | 2 |
0.1684 | 0.2323 | 0.8264 | 3 |
0.1375 | 0.2442 | 0.8282 | 4 |
0.1186 | 0.2473 | 0.8334 | 5 |
0.1055 | 0.2452 | 0.8328 | 6 |
0.0947 | 0.2258 | 0.8347 | 7 |
0.0890 | 0.2347 | 0.8335 | 8 |
0.0819 | 0.2328 | 0.8350 | 9 |
Framework versions
- Transformers 4.35.0
- TensorFlow 2.14.0
- Datasets 2.14.6
- Tokenizers 0.14.1
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