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lmchion/distilbert-finetuned-esg-a4s
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: 2.2859
- Validation Loss: 2.3354
- 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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': -812, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'passive_serialization': True}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 2.8805 | 2.7153 | 0 |
| 2.6414 | 2.5472 | 1 |
| 2.5202 | 2.4813 | 2 |
| 2.4306 | 2.3834 | 3 |
| 2.3452 | 2.3297 | 4 |
| 2.2940 | 2.3201 | 5 |
| 2.2889 | 2.3061 | 6 |
| 2.2726 | 2.3471 | 7 |
| 2.2827 | 2.3432 | 8 |
| 2.2859 | 2.3354 | 9 |
Framework versions
- Transformers 4.20.0
- TensorFlow 2.8.2
- Datasets 2.3.2
- Tokenizers 0.12.1
