irplag_graphcodebert_ep30_bs16_lr5e-05_l512_s42_ppn_loss – AI Model by buelfhood | AlphaNeural AI

You can deploy this model and start earning money today!

buelfhood/
irplag_graphcodebert_ep30_bs16_lr5e-05_l512_s42_ppn_loss

like

0

text-classification

generated_from_trainer

microsoft/graphcodebert-base

text-embeddings-inference

endpoints_compatible

Views

No views yet

irplag_graphcodebert_ep30_bs16_lr5e-05_l512_s42_ppn_loss

This model is a fine-tuned version of microsoft/graphcodebert-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0485
Accuracy: 0.9855
Recall: 0.9818
Precision: 1.0
F1: 0.9908
F Beta Score: 0.9873

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-05
train_batch_size: 16
eval_batch_size: 16
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: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Recall	Precision	F1	F Beta Score
0.4796	1.0	21	0.2678	0.9420	0.9636	0.9636	0.9636	0.9636
0.3463	2.0	42	0.0603	0.9855	0.9818	1.0	0.9908	0.9873
0.0261	3.0	63	0.0485	0.9855	0.9818	1.0	0.9908	0.9873
0.0461	4.0	84	0.0505	0.9855	0.9818	1.0	0.9908	0.9873
0.0615	5.0	105	0.0539	0.9710	0.9818	0.9818	0.9818	0.9818
0.0425	6.0	126	0.0626	0.9710	0.9818	0.9818	0.9818	0.9818

Framework versions

Transformers 4.51.3
Pytorch 2.8.0+cu128
Datasets 3.1.0
Tokenizers 0.21.4