---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: 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. -->

# qa_model

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2864

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 403  | 1.6619          |
| 2.4962        | 2.0   | 806  | 1.5064          |
| 1.3281        | 3.0   | 1209 | 1.5355          |
| 0.943         | 4.0   | 1612 | 1.6105          |
| 0.6258        | 5.0   | 2015 | 1.7803          |
| 0.6258        | 6.0   | 2418 | 1.8905          |
| 0.3992        | 7.0   | 2821 | 2.0605          |
| 0.2949        | 8.0   | 3224 | 2.2018          |
| 0.2103        | 9.0   | 3627 | 2.2359          |
| 0.1716        | 10.0  | 4030 | 2.2864          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0