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train_debug – AI Model by sanalsprasad | AlphaNeural AI
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train_debug
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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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train_debug
This model is a fine-tuned version of
openai-community/roberta-base-openai-detector
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0098
Accuracy: 0.999
Roc Auc: 1.0000
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
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Roc Auc
0.0336
1.0
6250
0.0298
0.992
0.9999
0.0085
2.0
12500
0.0098
0.999
1.0000
Framework versions
Transformers 4.36.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.15.0
