---
library_name: transformers
license: mit
base_model: Yuvrajg2107/deberta-v3-hybrid-detector_12
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: deberta-v3-hybrid-detector_v2_universal
  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. -->

# deberta-v3-hybrid-detector_v2_universal

This model is a fine-tuned version of [Yuvrajg2107/deberta-v3-hybrid-detector_12](https://huggingface.co/Yuvrajg2107/deberta-v3-hybrid-detector_12) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0389
- Accuracy: 0.9631

## 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-06
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.0127        | 0.1455 | 1000 | 0.0275          | 0.9659   |
| 0.0083        | 0.2909 | 2000 | 0.0469          | 0.9541   |
| 0.0065        | 0.4364 | 3000 | 0.0439          | 0.9544   |
| 0.0063        | 0.5818 | 4000 | 0.0207          | 0.9785   |
| 0.007         | 0.7273 | 5000 | 0.0342          | 0.9647   |
| 0.0046        | 0.8727 | 6000 | 0.0389          | 0.9631   |


### Framework versions

- Transformers 4.57.3
- Pytorch 2.6.0+cu124
- Datasets 4.4.2
- Tokenizers 0.22.1