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bert-base-chinese-finetuning-wallstreetcn-morning-news-vix-sz50-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: 1.0050
- Accuracy: 0.6538
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: 5e-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 | 19 | 0.6986 | 0.5 |
| No log | 2.0 | 38 | 0.6988 | 0.5 |
| No log | 3.0 | 57 | 0.7804 | 0.5 |
| No log | 4.0 | 76 | 0.6912 | 0.5 |
| No log | 5.0 | 95 | 0.8595 | 0.5192 |
| No log | 6.0 | 114 | 0.7574 | 0.5962 |
| No log | 7.0 | 133 | 1.6235 | 0.6154 |
| No log | 8.0 | 152 | 1.2308 | 0.6346 |
| No log | 9.0 | 171 | 1.1341 | 0.6923 |
| No log | 10.0 | 190 | 1.0050 | 0.6538 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
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