sourcecode-detection huggingface.co api & wandb sourcecode-detection github AI Model

Introduction of sourcecode-detection

Model Details of sourcecode-detection

CodeBERTa-small-v1-sourcecode-detection-clf

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: 0.0171
F1: 0.9975
Accuracy: 0.9975
Precision: 0.9975
Recall: 0.9975

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: 0.0003
train_batch_size: 320
eval_batch_size: 320
seed: 2024
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: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Accuracy	Precision	Recall
No log	0	0	0.6981	0.3337	0.5001	0.6162	0.5001
0.0294	0.1420	1000	0.0398	0.9947	0.9947	0.9947	0.9947
0.0076	0.2841	2000	0.0211	0.9968	0.9968	0.9968	0.9968
0.0053	0.4261	3000	0.0188	0.9973	0.9973	0.9973	0.9973
0.0056	0.5681	4000	0.0166	0.9976	0.9976	0.9976	0.9976
0.0044	0.7101	5000	0.0172	0.9975	0.9975	0.9975	0.9975
0.0009	0.8522	6000	0.0171	0.9975	0.9975	0.9975	0.9975
0.0052	0.9942	7000	0.0171	0.9975	0.9975	0.9975	0.9975

Framework versions

Transformers 4.46.3
Pytorch 2.5.1
Datasets 3.1.0
Tokenizers 0.20.3

Runs of wandb sourcecode-detection on huggingface.co

Total runs

24-hour runs

3-day runs

7-day runs

-10

30-day runs

More Information About sourcecode-detection huggingface.co Model

sourcecode-detection huggingface.co

sourcecode-detection huggingface.co is an AI model on huggingface.co that provides sourcecode-detection's model effect (), which can be used instantly with this wandb sourcecode-detection model. huggingface.co supports a free trial of the sourcecode-detection model, and also provides paid use of the sourcecode-detection. Support call sourcecode-detection model through api, including Node.js, Python, http.

sourcecode-detection huggingface.co Url

https://huggingface.co/wandb/sourcecode-detection

wandb sourcecode-detection online free

sourcecode-detection huggingface.co is an online trial and call api platform, which integrates sourcecode-detection's modeling effects, including api services, and provides a free online trial of sourcecode-detection, you can try sourcecode-detection online for free by clicking the link below.

wandb sourcecode-detection online free url in huggingface.co:

https://huggingface.co/wandb/sourcecode-detection

sourcecode-detection install

sourcecode-detection is an open source model from GitHub that offers a free installation service, and any user can find sourcecode-detection on GitHub to install. At the same time, huggingface.co provides the effect of sourcecode-detection install, users can directly use sourcecode-detection installed effect in huggingface.co for debugging and trial. It also supports api for free installation.