| --- |
| base_model: bigcode/starcoderbase-1b |
| library_name: peft |
| license: bigcode-openrail-m |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: peft-starcoder-lora-a100 |
| 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. --> |
|
|
| # peft-starcoder-lora-a100 |
|
|
| This model is a fine-tuned version of [bigcode/starcoderbase-1b](https://huggingface.co/bigcode/starcoderbase-1b) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.5624 |
|
|
| ## 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: 0.0005 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 30 |
| - training_steps: 2000 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 0.2574 | 0.05 | 100 | 0.9670 | |
| | 0.1994 | 0.1 | 200 | 1.0338 | |
| | 0.1515 | 0.15 | 300 | 1.1043 | |
| | 0.1391 | 0.2 | 400 | 1.1603 | |
| | 0.1373 | 0.25 | 500 | 1.2171 | |
| | 0.1007 | 0.3 | 600 | 1.2480 | |
| | 0.0987 | 0.35 | 700 | 1.2648 | |
| | 0.0811 | 0.4 | 800 | 1.2875 | |
| | 0.0743 | 0.45 | 900 | 1.3243 | |
| | 0.0694 | 0.5 | 1000 | 1.3702 | |
| | 0.0565 | 0.55 | 1100 | 1.3839 | |
| | 0.0631 | 0.6 | 1200 | 1.4482 | |
| | 0.0511 | 0.65 | 1300 | 1.4734 | |
| | 0.0436 | 0.7 | 1400 | 1.5073 | |
| | 0.0415 | 0.75 | 1500 | 1.5295 | |
| | 0.0394 | 0.8 | 1600 | 1.5387 | |
| | 0.0374 | 0.85 | 1700 | 1.5535 | |
| | 0.0383 | 0.9 | 1800 | 1.5564 | |
| | 0.0364 | 0.95 | 1900 | 1.5632 | |
| | 0.041 | 1.0 | 2000 | 1.5624 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.11.1 |
| - Transformers 4.41.2 |
| - Pytorch 2.3.0+cu121 |
| - Datasets 2.20.0 |
| - Tokenizers 0.19.1 |
