---
library_name: transformers
license: apache-2.0
base_model: google/electra-base-discriminator
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: electra-problematic-classifier
  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-problematic-classifier

This model is a fine-tuned version of [google/electra-base-discriminator](https://huggingface.co/google/electra-base-discriminator) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1953
- Accuracy: 0.931
- Auc: 0.98

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 | Auc   |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----:|
| 0.5987        | 1.0   | 263  | 0.4602          | 0.862    | 0.942 |
| 0.4339        | 2.0   | 526  | 0.3387          | 0.873    | 0.957 |
| 0.3674        | 3.0   | 789  | 0.2844          | 0.896    | 0.966 |
| 0.3266        | 4.0   | 1052 | 0.2732          | 0.891    | 0.972 |
| 0.2931        | 5.0   | 1315 | 0.2235          | 0.92     | 0.975 |
| 0.287         | 6.0   | 1578 | 0.2233          | 0.92     | 0.977 |
| 0.2784        | 7.0   | 1841 | 0.2101          | 0.931    | 0.979 |
| 0.2689        | 8.0   | 2104 | 0.2008          | 0.929    | 0.979 |
| 0.2601        | 9.0   | 2367 | 0.2005          | 0.931    | 0.98  |
| 0.2558        | 10.0  | 2630 | 0.1953          | 0.931    | 0.98  |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1