---
tags:
- generated_from_trainer
model-index:
- name: QA_BERT
  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_BERT

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.7595

## 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: 320
- eval_batch_size: 40
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 25

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 1    | 5.5075          |
| No log        | 2.0   | 2    | 4.8600          |
| No log        | 3.0   | 3    | 4.5288          |
| No log        | 4.0   | 4    | 4.2908          |
| No log        | 5.0   | 5    | 4.1877          |
| No log        | 6.0   | 6    | 4.1192          |
| No log        | 7.0   | 7    | 4.0090          |
| No log        | 8.0   | 8    | 3.8800          |
| No log        | 9.0   | 9    | 3.7745          |
| No log        | 10.0  | 10   | 3.7043          |
| No log        | 11.0  | 11   | 3.6591          |
| No log        | 12.0  | 12   | 3.6300          |
| No log        | 13.0  | 13   | 3.6148          |
| No log        | 14.0  | 14   | 3.6134          |
| No log        | 15.0  | 15   | 3.6236          |
| No log        | 16.0  | 16   | 3.6432          |
| No log        | 17.0  | 17   | 3.6669          |
| No log        | 18.0  | 18   | 3.6900          |
| No log        | 19.0  | 19   | 3.7081          |
| No log        | 20.0  | 20   | 3.7238          |
| No log        | 21.0  | 21   | 3.7352          |
| No log        | 22.0  | 22   | 3.7451          |
| No log        | 23.0  | 23   | 3.7520          |
| No log        | 24.0  | 24   | 3.7569          |
| No log        | 25.0  | 25   | 3.7595          |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.7
- Tokenizers 0.15.0