progpedia19_codeberta_ep30_bs16_lr3e-05_l512_s42_ppn_loss

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progpedia19_codeberta_ep30_bs16_lr3e-05_l512_s42_ppn_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: 0.1344
• Accuracy: 0.9938
• Recall: 0.9167
• Precision: 0.9167
• F1: 0.9167
• F Beta Score: 0.9167

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: 3e-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

Framework versions

• Transformers 4.51.3
• Pytorch 2.8.0+cu128
• Datasets 3.1.0
• Tokenizers 0.21.4