---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-small-unidic-bpe2
  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-small-unidic-bpe2

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5665
- Accuracy: 0.6690

## 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: 0.0001
- train_batch_size: 768
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 14
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Accuracy |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 2.111         | 1.0   | 69473  | 1.9831          | 0.6056   |
| 1.9667        | 2.0   | 138946 | 1.8334          | 0.6277   |
| 1.8918        | 3.0   | 208419 | 1.7656          | 0.6376   |
| 1.8518        | 4.0   | 277892 | 1.7219          | 0.6444   |
| 1.8202        | 5.0   | 347365 | 1.6904          | 0.6490   |
| 1.7996        | 6.0   | 416838 | 1.6705          | 0.6524   |
| 1.7767        | 7.0   | 486311 | 1.6479          | 0.6558   |
| 1.7663        | 8.0   | 555784 | 1.6339          | 0.6577   |
| 1.7524        | 9.0   | 625257 | 1.6159          | 0.6611   |
| 1.7398        | 10.0  | 694730 | 1.6020          | 0.6627   |
| 1.7229        | 11.0  | 764203 | 1.5920          | 0.6645   |
| 1.7127        | 12.0  | 833676 | 1.5836          | 0.6658   |
| 1.7011        | 13.0  | 903149 | 1.5737          | 0.6677   |
| 1.7           | 14.0  | 972622 | 1.5665          | 0.6690   |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu117
- Datasets 2.9.0
- Tokenizers 0.13.2