|
|
---
|
|
|
library_name: transformers
|
|
|
license: mit
|
|
|
base_model: roberta-base-openai-detector
|
|
|
tags:
|
|
|
- generated_from_trainer
|
|
|
metrics:
|
|
|
- accuracy
|
|
|
model-index:
|
|
|
- name: roberta-base-openai-detector-text2sql-approach-1
|
|
|
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-base-openai-detector-text2sql-approach-1
|
|
|
|
|
|
This model is a fine-tuned version of [roberta-base-openai-detector](https://huggingface.co/roberta-base-openai-detector) on the None dataset.
|
|
|
It achieves the following results on the evaluation set:
|
|
|
- Loss: 0.6802
|
|
|
- Accuracy: 0.58
|
|
|
|
|
|
## 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: 0.001
|
|
|
- train_batch_size: 16
|
|
|
- eval_batch_size: 16
|
|
|
- seed: 42
|
|
|
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
|
|
- lr_scheduler_type: linear
|
|
|
- lr_scheduler_warmup_steps: 57
|
|
|
- num_epochs: 10
|
|
|
|
|
|
### Training results
|
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
|
|
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
|
|
| 0.7355 | 1.0 | 57 | 0.7133 | 0.5 |
|
|
|
| 0.7256 | 2.0 | 114 | 0.6934 | 0.56 |
|
|
|
| 0.7062 | 3.0 | 171 | 0.6824 | 0.58 |
|
|
|
| 0.7048 | 4.0 | 228 | 0.6990 | 0.46 |
|
|
|
| 0.6976 | 5.0 | 285 | 0.7034 | 0.5 |
|
|
|
| 0.7104 | 6.0 | 342 | 0.7354 | 0.5 |
|
|
|
| 0.704 | 7.0 | 399 | 0.6808 | 0.58 |
|
|
|
| 0.6914 | 8.0 | 456 | 0.6776 | 0.6 |
|
|
|
| 0.6878 | 9.0 | 513 | 0.6849 | 0.54 |
|
|
|
| 0.6916 | 10.0 | 570 | 0.6802 | 0.58 |
|
|
|
|
|
|
|
|
|
### Framework versions
|
|
|
|
|
|
- Transformers 4.51.3
|
|
|
- Pytorch 2.7.0+cu118
|
|
|
- Datasets 3.6.0
|
|
|
- Tokenizers 0.21.1
|
|
|
|
