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ai-detection – AI Model by Rudra03 | AlphaNeural AI
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Rudra03
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ai-detection
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
distilbert/distilroberta-base
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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Model card
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ai-detection
This model is a fine-tuned version of
distilbert/distilroberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3740
F1: 0.9431
Accuracy: 0.9431
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: 1e-06
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
F1
Accuracy
0.094
1.0
10625
0.3861
0.9409
0.9409
0.0695
2.0
21250
0.4046
0.9409
0.9409
0.0577
3.0
31875
0.4162
0.9437
0.9437
Framework versions
Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1
