| | --- |
| | license: apache-2.0 |
| | base_model: hfl/chinese-macbert-base |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: chinese-macbert-base-wallstreetcn-morning-news-market-overview-SSEC-v6 |
| | results: [] |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # chinese-macbert-base-wallstreetcn-morning-news-market-overview-SSEC-v6 |
| |
|
| | This model is a fine-tuned version of [hfl/chinese-macbert-base](https://huggingface.co/hfl/chinese-macbert-base) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.4847 |
| | - Accuracy: 0.7188 |
| |
|
| | ## 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 | 0.6893 | 0.4375 | |
| | | No log | 2.0 | 68 | 0.6156 | 0.6562 | |
| | | No log | 3.0 | 102 | 0.8698 | 0.6562 | |
| | | No log | 4.0 | 136 | 0.6379 | 0.6562 | |
| | | No log | 5.0 | 170 | 0.8517 | 0.7188 | |
| | | No log | 6.0 | 204 | 1.1949 | 0.6875 | |
| | | No log | 7.0 | 238 | 1.2695 | 0.6875 | |
| | | No log | 8.0 | 272 | 1.3954 | 0.7188 | |
| | | No log | 9.0 | 306 | 1.5019 | 0.6875 | |
| | | No log | 10.0 | 340 | 1.4847 | 0.7188 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.33.1 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.14.5 |
| | - Tokenizers 0.13.3 |
| |
|
