---
license: cc-by-4.0
tags:
- generated_from_trainer
datasets:
- subjqa
model-index:
- name: qamodel2
  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. -->

# qamodel2

This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on the subjqa dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7777

## 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: 1e-06
- 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: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9544        | 1.0   | 81   | 2.0493          |
| 1.7079        | 2.0   | 162  | 1.8907          |
| 1.6135        | 3.0   | 243  | 1.8236          |
| 1.5829        | 4.0   | 324  | 1.7984          |
| 1.5381        | 5.0   | 405  | 1.7900          |
| 1.515         | 6.0   | 486  | 1.7827          |
| 1.5079        | 7.0   | 567  | 1.7827          |
| 1.4952        | 8.0   | 648  | 1.7777          |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2