---
license: cc-by-4.0
base_model: deepset/roberta-base-squad2
tags:
- generated_from_trainer
model-index:
- name: QA_REFINED_QUESTIONS_AND_DATA_14K_14-08
  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_REFINED_QUESTIONS_AND_DATA_14K_14-08

This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5917

## 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: 2
- eval_batch_size: 2
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.3897        | 1.0   | 5389  | 1.5180          |
| 1.231         | 2.0   | 10778 | 1.3101          |
| 1.1957        | 3.0   | 16167 | 1.4652          |
| 1.133         | 4.0   | 21556 | 1.3314          |
| 1.1529        | 5.0   | 26945 | 1.4526          |
| 1.1318        | 6.0   | 32334 | 1.3718          |
| 1.0172        | 7.0   | 37723 | 1.4211          |
| 0.9746        | 8.0   | 43112 | 1.7017          |
| 0.9014        | 9.0   | 48501 | 1.4937          |
| 0.8843        | 10.0  | 53890 | 1.5917          |


### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3