|
--- |
|
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 |
|
|
