---
license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
model-index:
- name: new-QA
  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. -->

# new-QA

This model is a fine-tuned version of [hfl/chinese-pert-large](https://huggingface.co/hfl/chinese-pert-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5158

## 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: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 12   | 4.9940          |
| No log        | 2.0   | 24   | 3.9417          |
| No log        | 3.0   | 36   | 3.1311          |
| No log        | 4.0   | 48   | 2.4780          |
| No log        | 5.0   | 60   | 2.2296          |
| No log        | 6.0   | 72   | 1.9246          |
| No log        | 7.0   | 84   | 1.6536          |
| No log        | 8.0   | 96   | 1.7087          |
| No log        | 9.0   | 108  | 1.6027          |
| No log        | 10.0  | 120  | 1.5158          |


### Framework versions

- Transformers 4.23.1
- Pytorch 1.10.0+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1