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fake2 – AI Model by lenayagaf | AlphaNeural AI
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lenayagaf
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fake2
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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Model card
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fake2
This model is a fine-tuned version of
distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3993
Accuracy: {'accuracy': 0.9}
F1: 0.9
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
23
0.5218
{'accuracy': 0.925}
0.9250
No log
2.0
46
0.3993
{'accuracy': 0.9}
0.9
Framework versions
Transformers 4.13.0
Pytorch 1.13.1+cu116
Datasets 2.8.0
Tokenizers 0.10.3
