---
license: apache-2.0
base_model: nidhinthomas/electra-small-squad-finetuned-synQA
tags:
- generated_from_trainer
datasets:
- squad_adversarial
model-index:
- name: AdQuest-when-how-many
  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. -->

# AdQuest-when-how-many

This model is a fine-tuned version of [nidhinthomas/electra-small-squad-finetuned-synQA](https://huggingface.co/nidhinthomas/electra-small-squad-finetuned-synQA) on the squad_adversarial dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5231

## 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: 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0179        | 1.0   | 3320 | 2.2782          |
| 0.9379        | 2.0   | 6640 | 2.3738          |
| 0.8668        | 3.0   | 9960 | 2.5231          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0