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---
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
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