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roberta-base-detect-cheapfake-combined-train-test-contradict – AI Model by hoanghoavienvo | AlphaNeural AI
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roberta-base-detect-cheapfake-combined-train-test-contradict
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
FacebookAI/roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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roberta-base-detect-cheapfake-combined-train-test-contradict
This model is a fine-tuned version of
roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4261
Accuracy: 0.89
F1: 0.8817
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-06
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
166
0.4435
0.84
0.8333
No log
2.0
332
0.6567
0.835
0.8374
No log
3.0
498
0.3563
0.895
0.88
0.2851
4.0
664
0.3671
0.895
0.8814
0.2851
5.0
830
0.4261
0.89
0.8817
Framework versions
Transformers 4.37.0
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.1
