detect-ai-text
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0067
- Accuracy: 0.9964
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 280 | 0.0059 | 0.9991 |
| 0.0319 | 2.0 | 560 | 0.0067 | 0.9964 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0
- Datasets 2.14.5
- Tokenizers 0.14.1
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Model tree for akshayvkt/detect-ai-text
Base model
distilbert/distilbert-base-uncased