| --- |
| library_name: peft |
| license: llama3.1 |
| base_model: unsloth/DeepSeek-R1-Distill-Llama-8B-unsloth-bnb-4bit |
| tags: |
| - trl |
| - sft |
| - unsloth |
| - generated_from_trainer |
| model-index: |
| - name: outputs |
| 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. --> |
|
|
| # outputs |
|
|
| This model is a fine-tuned version of [unsloth/DeepSeek-R1-Distill-Llama-8B-unsloth-bnb-4bit](https://huggingface.co/unsloth/DeepSeek-R1-Distill-Llama-8B-unsloth-bnb-4bit) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.3463 |
|
|
| ## 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: 2e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 32 |
| - optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 20 |
| - num_epochs: 3 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 0.9219 | 0.1773 | 50 | 0.6719 | |
| | 0.529 | 0.3546 | 100 | 0.4809 | |
| | 0.448 | 0.5319 | 150 | 0.4260 | |
| | 0.4242 | 0.7092 | 200 | 0.4043 | |
| | 0.4133 | 0.8865 | 250 | 0.3898 | |
| | 0.3839 | 1.0638 | 300 | 0.3803 | |
| | 0.3767 | 1.2411 | 350 | 0.3735 | |
| | 0.3708 | 1.4184 | 400 | 0.3673 | |
| | 0.3605 | 1.5957 | 450 | 0.3632 | |
| | 0.3721 | 1.7730 | 500 | 0.3593 | |
| | 0.3668 | 1.9504 | 550 | 0.3554 | |
| | 0.3457 | 2.1277 | 600 | 0.3536 | |
| | 0.3352 | 2.3050 | 650 | 0.3518 | |
| | 0.3426 | 2.4823 | 700 | 0.3490 | |
| | 0.3356 | 2.6596 | 750 | 0.3478 | |
| | 0.3376 | 2.8369 | 800 | 0.3463 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.14.0 |
| - Transformers 4.47.1 |
| - Pytorch 2.5.1+cu124 |
| - Datasets 3.2.0 |
| - Tokenizers 0.21.0 |
