|
--- |
|
base_model: bert-base-chinese |
|
tags: |
|
- generated_from_keras_callback |
|
model-index: |
|
- name: AIYIYA/my_wr |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information Keras had access to. You should |
|
probably proofread and complete it, then remove this comment. --> |
|
|
|
# AIYIYA/my_wr |
|
|
|
This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Train Loss: 1.3017 |
|
- Validation Loss: 1.2447 |
|
- Train Accuracy: 0.7895 |
|
- Epoch: 7 |
|
|
|
## 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': False, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 120, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False} |
|
- training_precision: float32 |
|
|
|
### Training results |
|
|
|
| Train Loss | Validation Loss | Train Accuracy | Epoch | |
|
|:----------:|:---------------:|:--------------:|:-----:| |
|
| 2.8885 | 2.6740 | 0.1316 | 0 | |
|
| 2.5028 | 2.3158 | 0.4737 | 1 | |
|
| 2.2462 | 2.0331 | 0.6579 | 2 | |
|
| 1.9850 | 1.7608 | 0.7632 | 3 | |
|
| 1.7761 | 1.6215 | 0.7632 | 4 | |
|
| 1.6159 | 1.4274 | 0.7895 | 5 | |
|
| 1.3905 | 1.3232 | 0.7895 | 6 | |
|
| 1.3017 | 1.2447 | 0.7895 | 7 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.31.0 |
|
- TensorFlow 2.12.0 |
|
- Datasets 2.14.4 |
|
- Tokenizers 0.13.3 |
|
|
