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bert-base-chinese-wallstreetcn-morning-news-market-overview-SSEC-f1-1
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: 0.6133
- F1: 0.6364
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 | 0.6899 | 0.2222 |
No log | 2.0 | 68 | 0.7315 | 0.0 |
No log | 3.0 | 102 | 0.6958 | 0.6087 |
No log | 4.0 | 136 | 0.6852 | 0.0 |
No log | 5.0 | 170 | 0.6953 | 0.0 |
No log | 6.0 | 204 | 0.6781 | 0.0 |
No log | 7.0 | 238 | 0.6829 | 0.0 |
No log | 8.0 | 272 | 0.6723 | 0.5641 |
No log | 9.0 | 306 | 0.6335 | 0.25 |
No log | 10.0 | 340 | 0.6133 | 0.6364 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3