---
tags:
- generated_from_trainer
model-index:
- name: bert-base-uncased-retrained-squad
  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. -->

# bert-base-uncased-retrained-squad

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3139

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 127  | 2.8619          |
| No log        | 2.0   | 254  | 2.8528          |
| No log        | 3.0   | 381  | 3.0415          |
| 0.671         | 4.0   | 508  | 3.3311          |
| 0.671         | 5.0   | 635  | 3.3139          |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3