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# my_awesome_qa_model

This model is a fine-tuned version of [nghuyong/ernie-1.0-base-zh](https://huggingface.co/nghuyong/ernie-1.0-base-zh) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0130

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.2519        | 1.0   | 1684 | 1.0958          |
| 0.9276        | 2.0   | 3368 | 1.0158          |
| 0.7311        | 3.0   | 5052 | 1.0130          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "base_model": "nghuyong/ernie-1.0-base-zh", "model-index": [{"name": "my_awesome_qa_model", "results": []}]}
transformers safetensors ernie question-answering generated_from_trainer base_model:nghuyong/ernie-1.0-base-zh endpoints_compatible region:us