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---
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bert-base-chinese-finetuned-food
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. -->
# bert-base-chinese-finetuned-food
This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0044
- F1: 1.0
## 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: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.2163 | 1.0 | 3 | 1.7446 | 0.0201 |
| 1.5263 | 2.0 | 6 | 1.1179 | 0.6113 |
| 1.1837 | 3.0 | 9 | 0.7233 | 0.75 |
| 0.6987 | 4.0 | 12 | 0.4377 | 0.8766 |
| 0.5036 | 5.0 | 15 | 0.2544 | 0.9154 |
| 0.2602 | 6.0 | 18 | 0.1495 | 0.9598 |
| 0.1998 | 7.0 | 21 | 0.0834 | 0.9836 |
| 0.1182 | 8.0 | 24 | 0.0484 | 0.9911 |
| 0.0815 | 9.0 | 27 | 0.0280 | 1.0 |
| 0.05 | 10.0 | 30 | 0.0177 | 1.0 |
| 0.0375 | 11.0 | 33 | 0.0124 | 1.0 |
| 0.0244 | 12.0 | 36 | 0.0094 | 1.0 |
| 0.0213 | 13.0 | 39 | 0.0075 | 1.0 |
| 0.0163 | 14.0 | 42 | 0.0063 | 1.0 |
| 0.0147 | 15.0 | 45 | 0.0056 | 1.0 |
| 0.0124 | 16.0 | 48 | 0.0051 | 1.0 |
| 0.0125 | 17.0 | 51 | 0.0047 | 1.0 |
| 0.0115 | 18.0 | 54 | 0.0045 | 1.0 |
| 0.0116 | 19.0 | 57 | 0.0044 | 1.0 |
| 0.0102 | 20.0 | 60 | 0.0044 | 1.0 |
### Framework versions
- Transformers 4.18.0
- Pytorch 1.12.0+cu102
- Datasets 1.18.4
- Tokenizers 0.12.1
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