| --- |
| license: bigcode-openrail-m |
| library_name: peft |
| tags: |
| - generated_from_trainer |
| base_model: WizardLM/WizardCoder-1B-V1.0 |
| model-index: |
| - name: WizardCoder1B-StaproCoder |
| 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. --> |
|
|
| # WizardCoder1B-StaproCoder |
|
|
| This model is a fine-tuned version of [WizardLM/WizardCoder-1B-V1.0](https://huggingface.co/WizardLM/WizardCoder-1B-V1.0) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2618 |
|
|
| ## 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: 12 |
| - eval_batch_size: 12 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 48 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_ratio: 0.1 |
| - training_steps: 2000 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 0.3982 | 0.05 | 100 | 0.3337 | |
| | 0.3102 | 0.1 | 200 | 0.2979 | |
| | 0.3561 | 0.15 | 300 | 0.2811 | |
| | 0.299 | 0.2 | 400 | 0.2739 | |
| | 0.2599 | 0.25 | 500 | 0.2702 | |
| | 0.2105 | 0.3 | 600 | 0.2671 | |
| | 0.2772 | 0.35 | 700 | 0.2638 | |
| | 0.2038 | 0.4 | 800 | 0.2626 | |
| | 0.2102 | 0.45 | 900 | 0.2627 | |
| | 0.2527 | 0.5 | 1000 | 0.2606 | |
| | 0.2137 | 0.55 | 1100 | 0.2606 | |
| | 0.1793 | 0.6 | 1200 | 0.2622 | |
| | 0.1655 | 0.65 | 1300 | 0.2618 | |
| | 0.228 | 0.7 | 1400 | 0.2616 | |
| | 0.1542 | 0.75 | 1500 | 0.2611 | |
| | 0.194 | 0.8 | 1600 | 0.2614 | |
| | 0.2056 | 0.85 | 1700 | 0.2612 | |
| | 0.2081 | 0.9 | 1800 | 0.2615 | |
| | 0.1824 | 0.95 | 1900 | 0.2618 | |
| | 0.1841 | 1.0 | 2000 | 0.2618 | |
|
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|
|
| ### Framework versions |
|
|
| - PEFT 0.9.0 |
| - Transformers 4.39.0.dev0 |
| - Pytorch 2.2.1+cu121 |
| - Datasets 2.17.1 |
| - Tokenizers 0.15.2 |
