---
license: cc-by-4.0
tags:
- generated_from_trainer
datasets:
- subjqa
model-index:
- name: m_bert_base_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. -->

# m_bert_base_qa_model

This model is a fine-tuned version of [deepset/bert-base-cased-squad2](https://huggingface.co/deepset/bert-base-cased-squad2) on the subjqa dataset.
It achieves the following results on the evaluation set:
- Loss: 4.4076

## 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   | 32   | 2.8233          |
| No log        | 2.0   | 64   | 2.9102          |
| No log        | 3.0   | 96   | 3.2005          |
| No log        | 4.0   | 128  | 3.5238          |
| No log        | 5.0   | 160  | 3.6986          |
| No log        | 6.0   | 192  | 4.0583          |
| No log        | 7.0   | 224  | 4.1965          |
| No log        | 8.0   | 256  | 4.2924          |
| No log        | 9.0   | 288  | 4.4430          |
| No log        | 10.0  | 320  | 4.4076          |


### Framework versions

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