Drigoro/my_awesome_model2
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: 0.5800
- Validation Loss: 1.4903
- Train Accuracy: 0.5365
- Epoch: 7
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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 1952, '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 Accuracy | Epoch |
---|---|---|---|
1.4303 | 1.3216 | 0.5054 | 0 |
1.1949 | 1.2826 | 0.5253 | 1 |
1.0284 | 1.2903 | 0.5370 | 2 |
0.8811 | 1.3209 | 0.5426 | 3 |
0.7705 | 1.3846 | 0.5355 | 4 |
0.6860 | 1.4357 | 0.5339 | 5 |
0.6196 | 1.4707 | 0.5375 | 6 |
0.5800 | 1.4903 | 0.5365 | 7 |
Framework versions
- Transformers 4.40.2
- TensorFlow 2.15.0
- Datasets 2.19.1
- Tokenizers 0.19.1
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