---
license: cc-by-4.0
tags:
- generated_from_trainer
model-index:
- name: roberta-base-squad2
  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. -->

# roberta-base-squad2

This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2222

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.725         | 1.0   | 677  | 2.7673          |
| 0.4414        | 2.0   | 1354 | 2.1589          |
| 0.3715        | 3.0   | 2031 | 2.2147          |
| 0.3109        | 4.0   | 2708 | 3.2084          |
| 0.2819        | 5.0   | 3385 | 3.0344          |
| 0.2256        | 6.0   | 4062 | 2.7600          |
| 0.1817        | 7.0   | 4739 | 3.2809          |
| 0.1815        | 8.0   | 5416 | 3.1657          |
| 0.1357        | 9.0   | 6093 | 3.1151          |
| 0.1443        | 10.0  | 6770 | 3.2222          |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3