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artificially-natural-roberta-redone – AI Model by ConnyGenz | AlphaNeural AI
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artificially-natural-roberta-redone
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
openai-community/roberta-base-openai-detector
finetune
mit
autotrain_compatible
endpoints_compatible
us
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artificially-natural-roberta-redone
This model is a fine-tuned version of
roberta-base-openai-detector
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1389
F1: 0.9815
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.1146
1.0
500
0.1384
0.9755
0.0123
2.0
1000
0.1029
0.985
0.0014
3.0
1500
0.1389
0.9815
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.1
