---
license: cc-by-4.0
base_model: deepset/roberta-base-squad2
tags:
- generated_from_trainer
model-index:
- name: QA_REFINED_QUESTIONS_WITH_RANDOM_DATA_24K_15_08
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# QA_REFINED_QUESTIONS_WITH_RANDOM_DATA_24K_15_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: 0.9623

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.8848        | 1.0   | 9137  | 0.8389          |
| 0.7753        | 2.0   | 18274 | 0.7794          |
| 0.7765        | 3.0   | 27411 | 0.8597          |
| 0.8242        | 4.0   | 36548 | 0.8571          |
| 0.6728        | 5.0   | 45685 | 0.9071          |
| 0.7219        | 6.0   | 54822 | 0.7628          |
| 0.6047        | 7.0   | 63959 | 0.9108          |
| 0.6137        | 8.0   | 73096 | 0.8685          |
| 0.5439        | 9.0   | 82233 | 0.8586          |
| 0.5387        | 10.0  | 91370 | 0.9623          |


### Framework versions

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