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---
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
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