metadata
license: mit
tags:
- generated_from_keras_callback
base_model: prajjwal1/bert-small
model-index:
- name: Review_model_1_Sentiment
results: []
Review_model_1_Sentiment
This model is a fine-tuned version of prajjwal1/bert-small on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.1172
- Train Accuracy: 0.3355
- 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': 0.001, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Train Accuracy | Epoch |
|---|---|---|
| 1.1234 | 0.3324 | 0 |
| 1.1213 | 0.3307 | 1 |
| 1.1214 | 0.3325 | 2 |
| 1.1192 | 0.3366 | 3 |
| 1.1225 | 0.3346 | 4 |
| 1.1189 | 0.3297 | 5 |
| 1.1188 | 0.3316 | 6 |
| 1.1212 | 0.3340 | 7 |
| 1.1263 | 0.3337 | 8 |
| 1.1172 | 0.3355 | 9 |
Framework versions
- Transformers 4.41.2
- TensorFlow 2.15.0
- Datasets 2.20.0
- Tokenizers 0.19.1