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secret-codebert-classifier – AI Model by AlexStepanenko | AlphaNeural AI
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AlexStepanenko
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secret-codebert-classifier
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transformers
safetensors
roberta
text-classification
generated_from_trainer
microsoft/codebert-base
finetune
text-embeddings-inference
endpoints_compatible
us
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secret-codebert-classifier
This model is a fine-tuned version of
microsoft/codebert-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0001
Accuracy: 1.0
Precision: 1.0
Recall: 1.0
F1: 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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1
0.0477
1.0
500
0.0001
1.0
1.0
1.0
1.0
0.0001
2.0
1000
0.0000
1.0
1.0
1.0
1.0
0.0001
3.0
1500
0.0000
1.0
1.0
1.0
1.0
Framework versions
Transformers 4.46.3
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.20.3
