---
license: apache-2.0
base_model: hfl/chinese-bert-wwm-ext
tags:
- generated_from_trainer
model-index:
- name: chinese-bert-wwm-ext-finetuned-QA-b8-10
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# chinese-bert-wwm-ext-finetuned-QA-b8-10

This model is a fine-tuned version of [hfl/chinese-bert-wwm-ext](https://huggingface.co/hfl/chinese-bert-wwm-ext) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2029

## 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: 3e-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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.7409        | 1.0   | 3460  | 0.6617          |
| 0.4568        | 2.0   | 6920  | 0.7331          |
| 0.2729        | 3.0   | 10380 | 0.9146          |
| 0.1864        | 4.0   | 13840 | 1.2475          |
| 0.1163        | 5.0   | 17300 | 1.3969          |
| 0.0825        | 6.0   | 20760 | 1.8681          |
| 0.0411        | 7.0   | 24220 | 2.0010          |
| 0.0317        | 8.0   | 27680 | 2.1313          |
| 0.0163        | 9.0   | 31140 | 2.2390          |
| 0.0053        | 10.0  | 34600 | 2.2029          |


### Framework versions

- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.14.5
- Tokenizers 0.13.3