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bart-base-chinese-wallstreetcn-morning-news-market-overview-open-SSEC-v2
This model is a fine-tuned version of fnlp/bart-base-chinese on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.4247
- Accuracy: 0.4688
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 | 0.6771 | 0.5625 |
| No log | 2.0 | 136 | 0.7803 | 0.5625 |
| No log | 3.0 | 204 | 0.7329 | 0.5938 |
| No log | 4.0 | 272 | 0.8407 | 0.5 |
| No log | 5.0 | 340 | 1.4687 | 0.5312 |
| No log | 6.0 | 408 | 2.7338 | 0.5 |
| No log | 7.0 | 476 | 3.0062 | 0.4688 |
| 0.4973 | 8.0 | 544 | 3.0367 | 0.5312 |
| 0.4973 | 9.0 | 612 | 3.3597 | 0.4688 |
| 0.4973 | 10.0 | 680 | 3.4247 | 0.4688 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.3
- Tokenizers 0.13.3
