freyagracia/distilbert-base-uncased-finetuned-tweet_pemilu_2
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: 2.3796
- Validation Loss: 2.3447
- Epoch: 19
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': {'module': 'transformers.optimization_tf', 'class_name': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': -937, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}, 'registered_name': 'WarmUp'}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: mixed_float16
Training results
Train Loss | Validation Loss | Epoch |
---|---|---|
4.8444 | 4.5973 | 0 |
4.5323 | 4.3017 | 1 |
4.2944 | 4.0347 | 2 |
4.0319 | 3.8860 | 3 |
3.8297 | 3.6184 | 4 |
3.5679 | 3.4363 | 5 |
3.4085 | 3.2184 | 6 |
3.2081 | 3.1093 | 7 |
3.0778 | 2.9026 | 8 |
2.9089 | 2.7794 | 9 |
2.8247 | 2.6472 | 10 |
2.6888 | 2.6064 | 11 |
2.6255 | 2.5352 | 12 |
2.4976 | 2.4881 | 13 |
2.4868 | 2.3892 | 14 |
2.4120 | 2.3527 | 15 |
2.3771 | 2.3493 | 16 |
2.3609 | 2.3212 | 17 |
2.3714 | 2.3579 | 18 |
2.3796 | 2.3447 | 19 |
Framework versions
- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.16.0
- Tokenizers 0.15.0
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