| --- |
| base_model: bigcode/starcoder |
| library_name: peft |
| license: bigcode-openrail-m |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: starcoder-adb-sdk |
| 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. --> |
|
|
| # starcoder-adb-sdk |
|
|
| This model is a fine-tuned version of [bigcode/starcoder](https://huggingface.co/bigcode/starcoder) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.3868 |
|
|
| ## 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: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 16 |
| - optimizer: Use 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 |
| - training_steps: 2000 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 0.2629 | 0.05 | 100 | 0.7794 | |
| | 0.0853 | 0.1 | 200 | 1.0164 | |
| | 0.0548 | 0.15 | 300 | 1.1201 | |
| | 0.0409 | 0.2 | 400 | 1.1509 | |
| | 0.0372 | 0.25 | 500 | 1.1885 | |
| | 0.0346 | 0.3 | 600 | 1.2198 | |
| | 0.0299 | 0.35 | 700 | 1.2742 | |
| | 0.0288 | 0.4 | 800 | 1.2339 | |
| | 0.0264 | 0.45 | 900 | 1.2372 | |
| | 0.028 | 0.5 | 1000 | 1.3072 | |
| | 0.0278 | 0.55 | 1100 | 1.3365 | |
| | 0.023 | 0.6 | 1200 | 1.3397 | |
| | 0.0253 | 0.65 | 1300 | 1.2971 | |
| | 0.0242 | 0.7 | 1400 | 1.3585 | |
| | 0.0228 | 0.75 | 1500 | 1.3603 | |
| | 0.0206 | 0.8 | 1600 | 1.3733 | |
| | 0.0209 | 0.85 | 1700 | 1.3809 | |
| | 0.0226 | 0.9 | 1800 | 1.3890 | |
| | 0.0225 | 0.95 | 1900 | 1.3855 | |
| | 0.024 | 1.0 | 2000 | 1.3868 | |
|
|
|
|
| ### Framework versions |
|
|
| - PEFT 0.13.3.dev0 |
| - Transformers 4.46.0.dev0 |
| - Pytorch 2.4.1+cu121 |
| - Datasets 3.0.1 |
| - Tokenizers 0.20.1 |
