---
library_name: transformers
license: apache-2.0
base_model: mrm8488/electra-small-finetuned-squadv2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: electra_combined_top_2
  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_combined_top_2

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: 0.2641
- Accuracy: 0.9583

## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.0454        | 1.0   | 780  | 0.8898          | 0.625    |
| 0.8348        | 2.0   | 1560 | 0.6872          | 0.7147   |
| 0.7606        | 3.0   | 2340 | 0.7110          | 0.7628   |
| 0.6726        | 4.0   | 3120 | 0.4644          | 0.8910   |
| 0.5222        | 5.0   | 3900 | 0.5211          | 0.8910   |
| 0.4424        | 6.0   | 4680 | 0.3023          | 0.9423   |
| 0.4497        | 7.0   | 5460 | 0.2728          | 0.9583   |
| 0.3085        | 8.0   | 6240 | 0.2765          | 0.9583   |
| 0.241         | 9.0   | 7020 | 0.2763          | 0.9583   |
| 0.236         | 10.0  | 7800 | 0.2641          | 0.9583   |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0