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---
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-SSE50-3
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-SSE50-3
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: 1.5654
- Accuracy: 0.7576
## 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 | 0.4055 | 0.8485 |
| No log | 2.0 | 68 | 0.8733 | 0.6667 |
| No log | 3.0 | 102 | 0.9532 | 0.7273 |
| No log | 4.0 | 136 | 1.3407 | 0.7576 |
| No log | 5.0 | 170 | 1.5447 | 0.6970 |
| No log | 6.0 | 204 | 1.4398 | 0.7273 |
| No log | 7.0 | 238 | 1.3168 | 0.7879 |
| No log | 8.0 | 272 | 1.4771 | 0.7576 |
| No log | 9.0 | 306 | 1.5679 | 0.7576 |
| No log | 10.0 | 340 | 1.5654 | 0.7576 |
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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