<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-9
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: 3.0409
- Accuracy: 0.6061
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 | 2.9459 | 0.6667 |
No log | 2.0 | 136 | 3.6407 | 0.6364 |
No log | 3.0 | 204 | 3.0520 | 0.5758 |
No log | 4.0 | 272 | 3.2335 | 0.5758 |
No log | 5.0 | 340 | 3.2817 | 0.6364 |
No log | 6.0 | 408 | 2.8390 | 0.6061 |
No log | 7.0 | 476 | 2.6681 | 0.6667 |
0.0839 | 8.0 | 544 | 3.0117 | 0.6061 |
0.0839 | 9.0 | 612 | 3.0114 | 0.6061 |
0.0839 | 10.0 | 680 | 3.0409 | 0.6061 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3