| --- |
| library_name: peft |
| license: bigcode-openrail-m |
| base_model: bigcode/starcoderbase-1b |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: starcoder-peft-airscript |
| 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-peft-airscript |
|
|
| 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: 0.7248 |
|
|
| ## 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: 10 |
| - eval_batch_size: 10 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 20 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 30 |
| - training_steps: 1600 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 1.2597 | 0.0625 | 100 | 1.1604 | |
| | 0.9591 | 0.125 | 200 | 0.9402 | |
| | 0.8109 | 0.1875 | 300 | 0.8431 | |
| | 0.7151 | 0.25 | 400 | 0.7917 | |
| | 0.6362 | 0.3125 | 500 | 0.7607 | |
| | 0.5759 | 0.375 | 600 | 0.7401 | |
| | 0.5284 | 0.4375 | 700 | 0.7334 | |
| | 0.4926 | 0.5 | 800 | 0.7252 | |
| | 0.4616 | 0.5625 | 900 | 0.7212 | |
| | 0.4369 | 0.625 | 1000 | 0.7236 | |
| | 0.4111 | 0.6875 | 1100 | 0.7255 | |
| | 0.3969 | 0.75 | 1200 | 0.7236 | |
| | 0.3855 | 0.8125 | 1300 | 0.7260 | |
| | 0.3822 | 0.875 | 1400 | 0.7262 | |
| | 0.3768 | 0.9375 | 1500 | 0.7256 | |
| | 0.3778 | 1.0 | 1600 | 0.7248 | |
|
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|
|
| ### Framework versions |
|
|
| - PEFT 0.13.2 |
| - Transformers 4.45.2 |
| - Pytorch 2.5.0 |
| - Datasets 3.0.1 |
| - Tokenizers 0.20.1 |
