--- license: apache-2.0 base_model: IDEA-CCNL/Erlangshen-Longformer-110M tags: - generated_from_trainer metrics: - accuracy model-index: - name: Erlangshen-Longformer-110M-wallstreetcn-morning-news-market-overview-SSEC-v13 results: [] --- # Erlangshen-Longformer-110M-wallstreetcn-morning-news-market-overview-SSEC-v13 This model is a fine-tuned version of [IDEA-CCNL/Erlangshen-Longformer-110M](https://huggingface.co/IDEA-CCNL/Erlangshen-Longformer-110M) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 3.8119 - Accuracy: 0.5312 ## 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 | 2.4781 | 0.5938 | | No log | 2.0 | 68 | 2.7322 | 0.625 | | No log | 3.0 | 102 | 2.9097 | 0.5625 | | No log | 4.0 | 136 | 4.1589 | 0.4062 | | No log | 5.0 | 170 | 3.0174 | 0.625 | | No log | 6.0 | 204 | 3.7337 | 0.4062 | | No log | 7.0 | 238 | 3.2421 | 0.5938 | | No log | 8.0 | 272 | 3.4698 | 0.5 | | No log | 9.0 | 306 | 3.2162 | 0.625 | | No log | 10.0 | 340 | 3.8119 | 0.5312 | ### Framework versions - Transformers 4.31.0 - Pytorch 2.0.1+cu118 - Datasets 2.14.4 - Tokenizers 0.13.3