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End of training
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---
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-v8
results: []
---
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# chinese-bigbird-wwm-base-4096-wallstreetcn-morning-news-market-overview-SSEC-v8
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: 1.1569
- 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 | 0.7071 | 0.4375 |
| No log | 2.0 | 68 | 0.6626 | 0.625 |
| No log | 3.0 | 102 | 0.6205 | 0.7188 |
| No log | 4.0 | 136 | 0.6098 | 0.6875 |
| No log | 5.0 | 170 | 0.6672 | 0.7188 |
| No log | 6.0 | 204 | 0.8818 | 0.625 |
| No log | 7.0 | 238 | 0.9867 | 0.6875 |
| No log | 8.0 | 272 | 1.1107 | 0.7188 |
| No log | 9.0 | 306 | 1.1640 | 0.6562 |
| No log | 10.0 | 340 | 1.1569 | 0.6562 |
### Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3