| --- |
| library_name: peft |
| tags: |
| - generated_from_trainer |
| base_model: microsoft/codebert-base |
| model-index: |
| - name: codebertbasePEFTLORA-finetuned-the-stack-bash |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # codebertbasePEFTLORA-finetuned-the-stack-bash |
|
|
| This model is a fine-tuned version of [microsoft/codebert-base](https://huggingface.co/microsoft/codebert-base) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 5.6253 |
|
|
| ## 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: 1 |
| - eval_batch_size: 1 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 4 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 100 |
| - training_steps: 10000 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:-----:|:---------------:| |
| | 8.0071 | 0.05 | 500 | 7.3041 | |
| | 6.7238 | 0.1 | 1000 | 6.7353 | |
| | 6.0485 | 0.15 | 1500 | 6.4389 | |
| | 7.5991 | 0.2 | 2000 | 6.1635 | |
| | 7.0524 | 0.25 | 2500 | 6.0566 | |
| | 6.4077 | 0.3 | 3000 | 5.9759 | |
| | 6.2579 | 0.35 | 3500 | 5.9255 | |
| | 6.2236 | 0.4 | 4000 | 5.9026 | |
| | 6.6512 | 0.45 | 4500 | 5.7760 | |
| | 6.0908 | 0.5 | 5000 | 5.7303 | |
| | 6.3444 | 0.55 | 5500 | 5.6846 | |
| | 7.097 | 0.6 | 6000 | 5.7699 | |
| | 5.9796 | 0.65 | 6500 | 5.6752 | |
| | 5.2663 | 0.7 | 7000 | 5.7492 | |
| | 6.065 | 0.75 | 7500 | 5.6354 | |
| | 6.5333 | 0.8 | 8000 | 5.6294 | |
| | 6.1995 | 0.85 | 8500 | 5.6278 | |
| | 6.0109 | 0.9 | 9000 | 5.6193 | |
| | 5.8204 | 0.95 | 9500 | 5.6142 | |
| | 6.7558 | 1.0 | 10000 | 5.6253 | |
|
|
|
|
| ### Framework versions |
|
|
| - PEFT 0.7.2.dev0 |
| - Transformers 4.37.0.dev0 |
| - Pytorch 2.1.0+cu118 |
| - Datasets 2.15.0 |
| - Tokenizers 0.15.0 |
