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binary_classifier – AI Model by StephanSchweitzer | AlphaNeural AI
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StephanSchweitzer
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binary_classifier
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transformers
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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binary_classifier
This model is a fine-tuned version of
distilbert/distilbert-base-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6459
Accuracy: 1.0
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.6437
1.0
9
0.6773
0.6667
0.65
2.0
18
0.6628
1.0
0.6561
3.0
27
0.6575
1.0
0.6398
4.0
36
0.6532
1.0
0.6594
5.0
45
0.6516
1.0
Framework versions
Transformers 4.46.3
Pytorch 2.5.1+cpu
Datasets 3.1.0
Tokenizers 0.20.3
