---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: my_qa_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_qa_model

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co./distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3725

## 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: 0.0002
- 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 96   | 0.6786          |
| No log        | 2.0   | 192  | 0.3586          |
| No log        | 3.0   | 288  | 0.2853          |
| No log        | 4.0   | 384  | 0.4693          |
| No log        | 5.0   | 480  | 0.3914          |
| 0.5916        | 6.0   | 576  | 0.3428          |
| 0.5916        | 7.0   | 672  | 0.3450          |
| 0.5916        | 8.0   | 768  | 0.3544          |
| 0.5916        | 9.0   | 864  | 0.3694          |
| 0.5916        | 10.0  | 960  | 0.3725          |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3