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

# interview_electra

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: 1.3918
- Accuracy: 0.7261

## 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 79   | 2.2793          | 0.1720   |
| No log        | 2.0   | 158  | 2.2569          | 0.2102   |
| No log        | 3.0   | 237  | 2.2141          | 0.2866   |
| No log        | 4.0   | 316  | 2.1554          | 0.3121   |
| No log        | 5.0   | 395  | 2.0661          | 0.5096   |
| No log        | 6.0   | 474  | 1.9949          | 0.5669   |
| 2.2016        | 7.0   | 553  | 1.9088          | 0.5987   |
| 2.2016        | 8.0   | 632  | 1.8361          | 0.5605   |
| 2.2016        | 9.0   | 711  | 1.7648          | 0.6306   |
| 2.2016        | 10.0  | 790  | 1.7013          | 0.6561   |
| 2.2016        | 11.0  | 869  | 1.6548          | 0.6115   |
| 2.2016        | 12.0  | 948  | 1.5916          | 0.6943   |
| 1.812         | 13.0  | 1027 | 1.5425          | 0.6943   |
| 1.812         | 14.0  | 1106 | 1.5137          | 0.7006   |
| 1.812         | 15.0  | 1185 | 1.4722          | 0.7261   |
| 1.812         | 16.0  | 1264 | 1.4426          | 0.7197   |
| 1.812         | 17.0  | 1343 | 1.4216          | 0.7197   |
| 1.812         | 18.0  | 1422 | 1.4061          | 0.7325   |
| 1.5304        | 19.0  | 1501 | 1.3961          | 0.7325   |
| 1.5304        | 20.0  | 1580 | 1.3918          | 0.7261   |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1