metadata
base_model: bert-base-chinese
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: my_disflu_chinese_model
results: []
my_disflu_chinese_model
This model is a fine-tuned version of bert-base-chinese on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2753
- Accuracy: 0.9154
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:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 278 | 0.2357 | 0.9100 |
| 0.258 | 2.0 | 556 | 0.2753 | 0.9154 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1
- Datasets 2.11.0
- Tokenizers 0.13.3