metadata
library_name: transformers
base_model: bert-base-chinese
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-base-chinese-finetuned-paragraph_extraction-retrain3
results: []
bert-base-chinese-finetuned-paragraph_extraction-retrain3
This model is a fine-tuned version of bert-base-chinese on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2350
- Accuracy: 0.9538
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: 3e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1994 | 0.1842 | 2000 | 0.2304 | 0.9395 |
| 0.2139 | 0.3684 | 4000 | 0.3441 | 0.9242 |
| 0.2433 | 0.5526 | 6000 | 0.2450 | 0.9528 |
| 0.1658 | 0.7369 | 8000 | 0.1913 | 0.9548 |
| 0.1741 | 0.9211 | 10000 | 0.2350 | 0.9538 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1