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bert-base-chinese-wallstreetcn-morning-news-market-overview-SSEC-f1-10
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: 4.7037
- F1: 0.1818
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 | F1 |
|---|---|---|---|---|
| No log | 1.0 | 34 | 5.3847 | 0.5641 |
| No log | 2.0 | 68 | 3.3006 | 0.3333 |
| No log | 3.0 | 102 | 4.6586 | 0.2759 |
| No log | 4.0 | 136 | 4.4445 | 0.4516 |
| No log | 5.0 | 170 | 4.5324 | 0.5 |
| No log | 6.0 | 204 | 3.7814 | 0.32 |
| No log | 7.0 | 238 | 4.1823 | 0.2105 |
| No log | 8.0 | 272 | 4.4959 | 0.25 |
| No log | 9.0 | 306 | 4.6619 | 0.25 |
| No log | 10.0 | 340 | 4.7037 | 0.1818 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
