chinese-bigbird-wwm-base-4096-wallstreetcn-morning-news-market-overview-SSEC-f1-3
This model is a fine-tuned version of Lowin/chinese-bigbird-wwm-base-4096 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.9998
- F1: 0.3810
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 | 2.3931 | 0.6207 |
| No log | 2.0 | 68 | 2.4859 | 0.5517 |
| No log | 3.0 | 102 | 2.8093 | 0.5185 |
| No log | 4.0 | 136 | 2.6130 | 0.4800 |
| No log | 5.0 | 170 | 2.8547 | 0.4800 |
| No log | 6.0 | 204 | 3.2069 | 0.4167 |
| No log | 7.0 | 238 | 2.9183 | 0.4211 |
| No log | 8.0 | 272 | 3.4945 | 0.5185 |
| No log | 9.0 | 306 | 2.9941 | 0.3810 |
| No log | 10.0 | 340 | 2.9998 | 0.3810 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1