---
library_name: transformers
license: apache-2.0
base_model: mrm8488/electra-small-finetuned-squadv2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: electra_interview_new
  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. -->

# electra_interview_new

This model is a fine-tuned version of [mrm8488/electra-small-finetuned-squadv2](https://huggingface.co/mrm8488/electra-small-finetuned-squadv2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4404
- Accuracy: 0.5658

## 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.7407        | 1.0   | 759  | 2.4745          | 0.2270   |
| 2.4522        | 2.0   | 1518 | 2.4164          | 0.2270   |
| 2.4115        | 3.0   | 2277 | 2.3080          | 0.25     |
| 2.2666        | 4.0   | 3036 | 2.1030          | 0.3947   |
| 2.1421        | 5.0   | 3795 | 1.9180          | 0.4342   |
| 1.9628        | 6.0   | 4554 | 1.7503          | 0.4836   |
| 1.8452        | 7.0   | 5313 | 1.5931          | 0.5164   |
| 1.7014        | 8.0   | 6072 | 1.5194          | 0.5691   |
| 1.6226        | 9.0   | 6831 | 1.4557          | 0.5592   |
| 1.5557        | 10.0  | 7590 | 1.4404          | 0.5658   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1