conplag1_codeberta_ep30_bs16_lr1e-05_l512_s42_ppy_loss – AI Model by buelfhood | AlphaNeural AI

You can deploy this model and start earning money today!

buelfhood/
conplag1_codeberta_ep30_bs16_lr1e-05_l512_s42_ppy_loss

like

0

text-classification

generated_from_trainer

huggingface/CodeBERTa-small-v1

text-embeddings-inference

endpoints_compatible

Views

No views yet

conplag1_codeberta_ep30_bs16_lr1e-05_l512_s42_ppy_loss

This model is a fine-tuned version of huggingface/CodeBERTa-small-v1 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5008
Accuracy: 0.8467
Recall: 0.5263
Precision: 0.8696
F1: 0.6557
F Beta Score: 0.5991

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: 1e-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
0.6673	1.0	40	0.6376	0.6569	0.6579	0.4237	0.5155	0.5623
0.6	2.0	80	0.5685	0.5766	0.8158	0.3780	0.5167	0.6015
0.5066	3.0	120	0.5008	0.8467	0.5263	0.8696	0.6557	0.5991
0.3206	4.0	160	0.5207	0.8394	0.5526	0.8077	0.6562	0.6121
0.281	5.0	200	0.5530	0.8467	0.5263	0.8696	0.6557	0.5991
0.2482	6.0	240	0.6371	0.8248	0.5	0.7917	0.6129	0.5639

Framework versions

Transformers 4.51.3
Pytorch 2.8.0+cu128
Datasets 3.1.0
Tokenizers 0.21.4