metadata
library_name: transformers
base_model: bert-base-chinese
tags:
- generated_from_keras_callback
model-index:
- name: node-py/my_awesome_eli5_clm-model
results: []
node-py/my_awesome_eli5_clm-model
This model is a fine-tuned version of bert-base-chinese on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0594
- Epoch: 23
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': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Epoch |
|---|---|
| 0.0882 | 0 |
| 0.0878 | 1 |
| 0.0852 | 2 |
| 0.0824 | 3 |
| 0.0810 | 4 |
| 0.0812 | 5 |
| 0.0790 | 6 |
| 0.0772 | 7 |
| 0.0755 | 8 |
| 0.0749 | 9 |
| 0.0717 | 10 |
| 0.0722 | 11 |
| 0.0718 | 12 |
| 0.0689 | 13 |
| 0.0863 | 14 |
| 0.0838 | 15 |
| 0.0731 | 16 |
| 0.0768 | 17 |
| 0.0675 | 18 |
| 0.0646 | 19 |
| 0.0650 | 20 |
| 0.0627 | 21 |
| 0.0610 | 22 |
| 0.0594 | 23 |
Framework versions
- Transformers 4.44.2
- TensorFlow 2.17.0
- Datasets 2.21.0
- Tokenizers 0.19.1