---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: Bert-QA-Pytorch-Squad2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Bert-QA-Pytorch-Squad2

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5532

## 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.3031        | 1.0   | 1644 | 1.1841          |
| 0.8636        | 2.0   | 3288 | 1.1397          |
| 0.5304        | 3.0   | 4932 | 1.3452          |
| 0.3194        | 4.0   | 6576 | 1.5532          |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3