| --- |
| library_name: peft |
| license: apache-2.0 |
| base_model: Qwen/Qwen2.5-Coder-1.5B-Instruct |
| tags: |
| - trl |
| - sft |
| - generated_from_trainer |
| model-index: |
| - name: sentinel-coder-qlora |
| 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. --> |
|
|
| # sentinel-coder-qlora |
|
|
| This model is a fine-tuned version of [Qwen/Qwen2.5-Coder-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B-Instruct) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1132 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 0.0002 |
| - train_batch_size: 1 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 8 |
| - total_train_batch_size: 8 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_ratio: 0.05 |
| - num_epochs: 3 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 0.4273 | 0.7030 | 50 | 0.4052 | |
| | 0.1574 | 1.4060 | 100 | 0.2152 | |
| | 0.1124 | 2.1090 | 150 | 0.1263 | |
| | 0.0864 | 2.8120 | 200 | 0.1132 | |
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| ### Framework versions |
|
|
| - PEFT 0.12.0 |
| - Transformers 4.44.2 |
| - Pytorch 2.3.0 |
| - Datasets 2.21.0 |
| - Tokenizers 0.19.1 |
