--- license: apache-2.0 base_model: Lowin/chinese-bigbird-wwm-base-4096 tags: - generated_from_trainer metrics: - accuracy model-index: - name: chinese-bigbird-wwm-base-4096-wallstreetcn-morning-news-market-overview-SSEC-v15 results: [] --- # chinese-bigbird-wwm-base-4096-wallstreetcn-morning-news-market-overview-SSEC-v15 This model is a fine-tuned version of [Lowin/chinese-bigbird-wwm-base-4096](https://huggingface.co/Lowin/chinese-bigbird-wwm-base-4096) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.3473 - Accuracy: 0.6562 ## 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 | 34 | 0.7136 | 0.4375 | | No log | 2.0 | 68 | 0.6893 | 0.5625 | | No log | 3.0 | 102 | 0.6551 | 0.6562 | | No log | 4.0 | 136 | 0.6885 | 0.625 | | No log | 5.0 | 170 | 0.8229 | 0.5312 | | No log | 6.0 | 204 | 0.8889 | 0.6562 | | No log | 7.0 | 238 | 1.1127 | 0.6562 | | No log | 8.0 | 272 | 1.5349 | 0.5 | | No log | 9.0 | 306 | 1.3250 | 0.625 | | No log | 10.0 | 340 | 1.3473 | 0.6562 | ### Framework versions - Transformers 4.32.0 - Pytorch 2.0.1+cu118 - Datasets 2.14.4 - Tokenizers 0.13.3