metadata
license: cc-by-nc-sa-4.0
base_model: hfl/chinese-pert-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: chinese-pert-base-wallstreetcn-morning-news-market-overview-SSEC-8
results: []
chinese-pert-base-wallstreetcn-morning-news-market-overview-SSEC-8
This model is a fine-tuned version of hfl/chinese-pert-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1119
- Accuracy: 0.5625
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 | 1.0547 | 0.6562 |
| No log | 2.0 | 68 | 1.2924 | 0.625 |
| No log | 3.0 | 102 | 1.2591 | 0.6562 |
| No log | 4.0 | 136 | 1.3062 | 0.6562 |
| No log | 5.0 | 170 | 1.3551 | 0.6875 |
| No log | 6.0 | 204 | 1.2996 | 0.7188 |
| No log | 7.0 | 238 | 1.7232 | 0.5938 |
| No log | 8.0 | 272 | 1.9569 | 0.5625 |
| No log | 9.0 | 306 | 2.1006 | 0.5625 |
| No log | 10.0 | 340 | 2.1119 | 0.5625 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3