metadata
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: ashhadahsan/amazon-theme-bert-base-finetuned-finetuned
results: []
ashhadahsan/amazon-theme-bert-base-finetuned-finetuned
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0341
- Train Accuracy: 1.0
- Validation Loss: 1.5032
- Validation Accuracy: 0.6667
- Epoch: 16
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': 1.0, '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': 3e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|---|---|---|---|---|
| 1.9295 | 0.4297 | 1.7895 | 0.4656 | 0 |
| 1.5562 | 0.5650 | 1.6742 | 0.4762 | 1 |
| 1.2099 | 0.6552 | 1.5047 | 0.5450 | 2 |
| 0.8859 | 0.7825 | 1.3883 | 0.6138 | 3 |
| 0.6078 | 0.8753 | 1.3384 | 0.5926 | 4 |
| 0.4276 | 0.9271 | 1.5709 | 0.5397 | 5 |
| 0.3208 | 0.9536 | 1.4246 | 0.6349 | 6 |
| 0.2201 | 0.9748 | 1.5447 | 0.6190 | 7 |
| 0.1663 | 0.9814 | 1.5030 | 0.6455 | 8 |
| 0.1302 | 0.9867 | 1.4468 | 0.6349 | 9 |
| 0.0990 | 0.9881 | 1.4503 | 0.6349 | 10 |
| 0.0812 | 0.9920 | 1.4135 | 0.6667 | 11 |
| 0.0655 | 0.9934 | 1.4341 | 0.6720 | 12 |
| 0.0560 | 0.9960 | 1.4613 | 0.6561 | 13 |
| 0.0468 | 0.9973 | 1.4622 | 0.6720 | 14 |
| 0.0403 | 0.9987 | 1.4927 | 0.6667 | 15 |
| 0.0341 | 1.0 | 1.5032 | 0.6667 | 16 |
Framework versions
- Transformers 4.34.1
- TensorFlow 2.12.0
- Datasets 2.14.5
- Tokenizers 0.14.1