| --- |
| library_name: peft |
| tags: |
| - generated_from_trainer |
| base_model: PrunaAI/deepseek-ai-deepseek-math-7b-rl-bnb-4bit-smashed |
| model-index: |
| - name: math_ft |
| 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. --> |
|
|
| # math_ft |
| |
| This model is a fine-tuned version of [PrunaAI/deepseek-ai-deepseek-math-7b-rl-bnb-4bit-smashed](https://huggingface.co/PrunaAI/deepseek-ai-deepseek-math-7b-rl-bnb-4bit-smashed) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.5111 |
| |
| ## 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: 0.0002 |
| - train_batch_size: 32 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 128 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 2 |
| - num_epochs: 10 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 1.0364 | 0.9655 | 7 | 0.7955 | |
| | 0.7271 | 1.9310 | 14 | 0.6199 | |
| | 0.604 | 2.8966 | 21 | 0.5675 | |
| | 0.4951 | 4.0 | 29 | 0.5419 | |
| | 0.5483 | 4.9655 | 36 | 0.5294 | |
| | 0.531 | 5.9310 | 43 | 0.5218 | |
| | 0.5217 | 6.8966 | 50 | 0.5168 | |
| | 0.4511 | 8.0 | 58 | 0.5131 | |
| | 0.5083 | 8.9655 | 65 | 0.5115 | |
| | 0.4632 | 9.6552 | 70 | 0.5111 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.11.1 |
| - Transformers 4.40.2 |
| - Pytorch 2.1.0+cu121 |
| - Datasets 2.19.1 |
| - Tokenizers 0.19.1 |
