metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: sevvalkapcak/newModel
results: []
sevvalkapcak/newModel
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: 0.0192
- Validation Loss: 0.7431
- Train Accuracy: 0.901
- 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': 5e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Train Accuracy | Epoch |
|---|---|---|---|
| 0.0133 | 0.6573 | 0.901 | 0 |
| 0.0135 | 0.7314 | 0.9065 | 1 |
| 0.0104 | 0.6544 | 0.913 | 2 |
| 0.0148 | 0.7763 | 0.9035 | 3 |
| 0.0171 | 0.7110 | 0.9055 | 4 |
| 0.0121 | 0.7075 | 0.9015 | 5 |
| 0.0126 | 0.7461 | 0.8945 | 6 |
| 0.0212 | 0.7539 | 0.9035 | 7 |
| 0.0183 | 0.7842 | 0.9005 | 8 |
| 0.0192 | 0.7431 | 0.901 | 9 |
Framework versions
- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.16.1
- Tokenizers 0.15.1