Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
fine-tuned-ai-detector_new – AI Model by Enlightir | AlphaNeural AI
You can deploy this model and start earning money today!
Enlightir
/
fine-tuned-ai-detector_new
like
0
transformers
tensorboard
safetensors
roberta
generated_from_trainer
openai-community/roberta-base-openai-detector
finetune
mit
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
fine-tuned-ai-detector_new
This model is a fine-tuned version of
openai-community/roberta-base-openai-detector
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.8260
Accuracy: 0.9046
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.061
1.0
2821
1.8939
0.7366
0.024
2.0
5642
1.5649
0.8121
0.0172
3.0
8463
0.4891
0.9419
0.009
4.0
11284
0.7016
0.9163
0.0046
5.0
14105
0.8260
0.9046
Framework versions
Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0
