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PolyCoder-Solidity-Vulnerability – AI Model by angusleung100 | AlphaNeural AI
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angusleung100
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PolyCoder-Solidity-Vulnerability
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transformers
tensorboard
safetensors
gpt_neox
text-classification
generated_from_trainer
NinedayWang/PolyCoder-160M
finetune
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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PolyCoder-Solidity-Vulnerability
This model is a fine-tuned version of
NinedayWang/PolyCoder-160M
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0000
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: 0.0001
train_batch_size: 1
eval_batch_size: 1
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
Accuracy
Precision
Recall
F1
0.0
1.0
4713
0.0000
1.0
1.0
1.0
1.0
0.0
2.0
9426
0.0000
1.0
1.0
1.0
1.0
0.0
3.0
14139
0.0000
1.0
1.0
1.0
1.0
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1
