|
|
--- |
|
|
license: mit |
|
|
base_model: roberta-base |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
metrics: |
|
|
- accuracy |
|
|
- recall |
|
|
- precision |
|
|
- f1 |
|
|
model-index: |
|
|
- name: roberta-large-AI-detection |
|
|
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. --> |
|
|
|
|
|
# roberta-large-AI-detection |
|
|
|
|
|
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.5246 |
|
|
- Accuracy: 0.7574 |
|
|
- Recall: 0.8155 |
|
|
- Precision: 0.7625 |
|
|
- F1: 0.7881 |
|
|
|
|
|
## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
|
- lr_scheduler_type: linear |
|
|
- lr_scheduler_warmup_steps: 500 |
|
|
- num_epochs: 5 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Recall | Precision | F1 | |
|
|
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| |
|
|
| 0.6903 | 1.0 | 197 | 0.6773 | 0.5533 | 1.0 | 0.5533 | 0.7124 | |
|
|
| 0.5917 | 2.0 | 394 | 0.6918 | 0.7189 | 0.8503 | 0.7035 | 0.7700 | |
|
|
| 0.6437 | 3.0 | 591 | 0.5689 | 0.7485 | 0.8209 | 0.7488 | 0.7832 | |
|
|
| 0.5568 | 4.0 | 788 | 0.5246 | 0.7574 | 0.8155 | 0.7625 | 0.7881 | |
|
|
| 0.6706 | 5.0 | 985 | 0.6416 | 0.7870 | 0.8690 | 0.7738 | 0.8186 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.38.2 |
|
|
- Pytorch 2.2.1+cu121 |
|
|
- Datasets 2.18.0 |
|
|
- Tokenizers 0.15.2 |
|
|
|
