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bert-base-chinese-wallstreetcn-morning-news-market-overview-SSEC-f1-v1
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: 0.8374
- F1: 0.4762
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 | 0.6935 | 0.5882 |
| No log | 2.0 | 68 | 0.6944 | 0.0 |
| No log | 3.0 | 102 | 0.6881 | 0.2353 |
| No log | 4.0 | 136 | 0.6925 | 0.0 |
| No log | 5.0 | 170 | 0.6433 | 0.4545 |
| No log | 6.0 | 204 | 0.6662 | 0.6667 |
| No log | 7.0 | 238 | 0.7321 | 0.3158 |
| No log | 8.0 | 272 | 0.8022 | 0.4615 |
| No log | 9.0 | 306 | 0.8031 | 0.4762 |
| No log | 10.0 | 340 | 0.8374 | 0.4762 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
