metadata
license: apache-2.0
base_model: distilbert-base-uncased-finetuned-sst-2-english
tags:
- generated_from_keras_callback
model-index:
- name: dippy
results: []
dippy
This model is a fine-tuned version of distilbert-base-uncased-finetuned-sst-2-english on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.6930
- Train Accuracy: 0.4992
- Validation Loss: 0.6942
- Validation Accuracy: 0.5634
- Epoch: 4
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': 5e-05, 'decay_steps': 400, 'end_learning_rate': 0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|---|---|---|---|---|
| 0.7052 | 0.4661 | 0.6890 | 0.5634 | 0 |
| 0.6937 | 0.5323 | 0.7109 | 0.4366 | 1 |
| 0.6962 | 0.4976 | 0.6910 | 0.5634 | 2 |
| 0.6941 | 0.4929 | 0.6920 | 0.5634 | 3 |
| 0.6930 | 0.4992 | 0.6942 | 0.5634 | 4 |
Framework versions
- Transformers 4.35.2
- TensorFlow 2.15.0
- Tokenizers 0.15.0