metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: sevvalkapcak/newModel2
results: []
sevvalkapcak/newModel2
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: 0.0201
- Validation Loss: 0.2888
- Train Accuracy: 0.9315
- Epoch: 13
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 |
|---|---|---|---|
| 0.2465 | 0.2029 | 0.9085 | 0 |
| 0.1354 | 0.1302 | 0.939 | 1 |
| 0.1121 | 0.1588 | 0.934 | 2 |
| 0.0945 | 0.1551 | 0.937 | 3 |
| 0.0815 | 0.1696 | 0.939 | 4 |
| 0.0778 | 0.1647 | 0.932 | 5 |
| 0.0522 | 0.2356 | 0.931 | 6 |
| 0.0444 | 0.2861 | 0.9335 | 7 |
| 0.0329 | 0.2144 | 0.9355 | 8 |
| 0.0290 | 0.2548 | 0.935 | 9 |
| 0.0222 | 0.2866 | 0.93 | 10 |
| 0.0256 | 0.2787 | 0.9385 | 11 |
| 0.0267 | 0.2764 | 0.941 | 12 |
| 0.0201 | 0.2888 | 0.9315 | 13 |
Framework versions
- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.16.1
- Tokenizers 0.15.1