---
license: apache-2.0
tags:
- generated_from_keras_callback
base_model: distilbert-base-cased
model-index:
- name: ai-detector-distilbert
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# ai-detector-distilbert

This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0079
- Train Accuracy: 0.9983
- Validation Loss: 0.0156
- Validation Accuracy: 0.9958
- Train Lr: 1e-07
- Epoch: 2

## 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:
- optimizer: {'name': 'RMSprop', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': 100, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 1e-07, 'rho': 0.9, 'momentum': 0.0, 'epsilon': 1e-07, 'centered': False}
- training_precision: float32

### Training results

| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Train Lr | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:--------:|:-----:|
| 0.0921     | 0.9652         | 0.0141          | 0.9963              | 1e-05    | 0     |
| 0.0098     | 0.9974         | 0.0178          | 0.9956              | 1e-06    | 1     |
| 0.0079     | 0.9983         | 0.0156          | 0.9958              | 1e-07    | 2     |


### Framework versions

- Transformers 4.39.3
- TensorFlow 2.15.0
- Datasets 2.18.0
- Tokenizers 0.15.2