bert-base-chinese-climate-risk-opportunity-prediction-1
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: 0.0427
- Accuracy: 0.99
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 113 | 0.1890 | 0.97 |
| No log | 2.0 | 226 | 0.0226 | 0.99 |
| No log | 3.0 | 339 | 0.0335 | 0.99 |
| No log | 4.0 | 452 | 0.0342 | 0.99 |
| 0.0586 | 5.0 | 565 | 0.0375 | 0.99 |
| 0.0586 | 6.0 | 678 | 0.0397 | 0.99 |
| 0.0586 | 7.0 | 791 | 0.0409 | 0.99 |
| 0.0586 | 8.0 | 904 | 0.0416 | 0.99 |
| 0.0001 | 9.0 | 1017 | 0.0426 | 0.99 |
| 0.0001 | 10.0 | 1130 | 0.0427 | 0.99 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for hw2942/bert-base-chinese-climate-risk-opportunity-prediction-1
Base model
google-bert/bert-base-chinese