README.md

metadata

library_name: transformers
base_model: microsoft/codebert-base-mlm
tags:
  - generated_from_trainer
datasets:
  - devgpt-aimotion/the-stack-v2_PlantUML_filtered
metrics:
  - accuracy
model-index:
  - name: codebert_base_code_uml_c
    results:
      - task:
          name: Masked Language Modeling
          type: fill-mask
        dataset:
          name: devgpt-aimotion/the-stack-v2_PlantUML_filtered
          type: devgpt-aimotion/the-stack-v2_PlantUML_filtered
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.9053223443951083

codebert_base_code_uml_c

This model is a fine-tuned version of microsoft/codebert-base-mlm on the devgpt-aimotion/the-stack-v2_PlantUML_filtered dataset. It achieves the following results on the evaluation set:

• Loss: 0.4533
• Accuracy: 0.9053

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: 96
• eval_batch_size: 96
• seed: 10
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 10000
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5254	4.3592	10000	0.4521	0.9053

Framework versions

• Transformers 4.51.2
• Pytorch 2.6.0+cu126
• Datasets 3.5.0
• Tokenizers 0.21.1