---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: BERTModelQA2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# BERTModelQA2

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the squad dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1894

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7749        | 1.0   | 563  | 1.6499          |
| 1.3956        | 2.0   | 1126 | 1.4280          |
| 1.0094        | 3.0   | 1689 | 1.4128          |
| 0.7522        | 4.0   | 2252 | 1.5635          |
| 0.5826        | 5.0   | 2815 | 1.6302          |
| 0.4356        | 6.0   | 3378 | 1.7976          |
| 0.3399        | 7.0   | 3941 | 1.9001          |
| 0.2234        | 8.0   | 4504 | 2.0518          |
| 0.1806        | 9.0   | 5067 | 2.1244          |
| 0.1543        | 10.0  | 5630 | 2.1894          |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.0
- Tokenizers 0.13.2