| --- |
| license: bigcode-openrail-m |
| library_name: peft |
| tags: |
| - generated_from_trainer |
| base_model: bigcode/starcoderbase-1b |
| model-index: |
| - name: peft-starcoder-lora-a100-2 |
| 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-a100-2 |
|
|
| 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: 1.0592 |
|
|
| ## 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 | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 0.9652 | 0.05 | 100 | 0.9197 | |
| | 0.9885 | 0.1 | 200 | 0.9485 | |
| | 0.6513 | 0.15 | 300 | 0.9709 | |
| | 0.8975 | 0.2 | 400 | 0.9838 | |
| | 0.95 | 0.25 | 500 | 0.9714 | |
| | 0.5729 | 0.3 | 600 | 1.0019 | |
| | 0.7983 | 0.35 | 700 | 1.0143 | |
| | 0.8258 | 0.4 | 800 | 1.0099 | |
| | 0.5197 | 0.45 | 900 | 1.0160 | |
| | 0.7501 | 0.5 | 1000 | 1.0330 | |
| | 0.7713 | 0.55 | 1100 | 1.0367 | |
| | 0.4739 | 0.6 | 1200 | 1.0440 | |
| | 0.696 | 0.65 | 1300 | 1.0429 | |
| | 0.6839 | 0.7 | 1400 | 1.0472 | |
| | 0.5393 | 0.75 | 1500 | 1.0541 | |
| | 0.6557 | 0.8 | 1600 | 1.0569 | |
| | 0.6003 | 0.85 | 1700 | 1.0623 | |
| | 0.6009 | 0.9 | 1800 | 1.0617 | |
| | 0.5554 | 0.95 | 1900 | 1.0613 | |
| | 0.5879 | 1.0 | 2000 | 1.0592 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.10.0 |
| - Transformers 4.38.2 |
| - Pytorch 2.2.1+cu121 |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.2 |
