---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- cmrc2018
model-index:
- name: my_awesome_qa_cmrc2018_model
  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. -->

# my_awesome_qa_cmrc2018_model

This model is a fine-tuned version of [hfl/chinese-pert-base-mrc](https://huggingface.co/hfl/chinese-pert-base-mrc) on the cmrc2018 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5397

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.8593        | 1.0   | 634  | 1.2136          |
| 0.6411        | 2.0   | 1268 | 1.3501          |
| 0.4974        | 3.0   | 1902 | 1.5397          |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.15.0
- Tokenizers 0.13.3