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chinese-bigbird-wwm-base-4096-wallstreetcn-morning-news-market-overview-SSE50-v12
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: 2.4285
- Accuracy: 0.7576
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 | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 68 | 3.3034 | 0.6364 |
| No log | 2.0 | 136 | 2.1189 | 0.7273 |
| No log | 3.0 | 204 | 3.1339 | 0.6364 |
| No log | 4.0 | 272 | 2.2564 | 0.7576 |
| No log | 5.0 | 340 | 2.6757 | 0.7273 |
| No log | 6.0 | 408 | 2.3737 | 0.7273 |
| No log | 7.0 | 476 | 2.8244 | 0.7273 |
| 0.0721 | 8.0 | 544 | 2.4386 | 0.7576 |
| 0.0721 | 9.0 | 612 | 2.6520 | 0.7273 |
| 0.0721 | 10.0 | 680 | 2.4285 | 0.7576 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0
