---
license: cc-by-4.0
base_model: deepset/roberta-base-squad2
tags:
- generated_from_trainer
model-index:
- name: QA_REFINED_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_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: 0.8890

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.923         | 1.0   | 5451  | 0.6928          |
| 0.7731        | 2.0   | 10902 | 0.8015          |
| 0.6107        | 3.0   | 16353 | 0.7948          |
| 0.5961        | 4.0   | 21804 | 0.7665          |
| 0.6113        | 5.0   | 27255 | 0.8171          |
| 0.5014        | 6.0   | 32706 | 0.7901          |
| 0.4425        | 7.0   | 38157 | 0.7140          |
| 0.4546        | 8.0   | 43608 | 0.8264          |
| 0.3919        | 9.0   | 49059 | 0.8266          |
| 0.3568        | 10.0  | 54510 | 0.8890          |


### Framework versions

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