---
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
  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

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: 1.4985
- Accuracy: 0.7115

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.0557        | 1.0   | 624  | 1.0444          | 0.5032   |
| 1.0119        | 2.0   | 1248 | 0.9122          | 0.6154   |
| 0.827         | 3.0   | 1872 | 1.0536          | 0.6410   |
| 0.7281        | 4.0   | 2496 | 1.1990          | 0.6667   |
| 0.5995        | 5.0   | 3120 | 1.0404          | 0.6795   |
| 0.5339        | 6.0   | 3744 | 1.3688          | 0.6955   |
| 0.4599        | 7.0   | 4368 | 1.4182          | 0.7083   |
| 0.388         | 8.0   | 4992 | 1.4727          | 0.7147   |
| 0.3418        | 9.0   | 5616 | 1.5407          | 0.7051   |
| 0.2794        | 10.0  | 6240 | 1.4985          | 0.7115   |


### Framework versions

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