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

# old_electra_pytranscripts

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: 2.1743
- Accuracy: 0.2632

## 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 OptimizerNames.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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 76   | 2.2813          | 0.2368   |
| No log        | 2.0   | 152  | 2.2611          | 0.1579   |
| No log        | 3.0   | 228  | 2.2412          | 0.2368   |
| No log        | 4.0   | 304  | 2.2222          | 0.2632   |
| No log        | 5.0   | 380  | 2.2071          | 0.2632   |
| No log        | 6.0   | 456  | 2.1922          | 0.2632   |
| 2.1966        | 7.0   | 532  | 2.1866          | 0.2368   |
| 2.1966        | 8.0   | 608  | 2.1814          | 0.2105   |
| 2.1966        | 9.0   | 684  | 2.1775          | 0.2632   |
| 2.1966        | 10.0  | 760  | 2.1743          | 0.2632   |


### Framework versions

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