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---
library_name: peft
license: other
base_model: deepseek-ai/deepseek-coder-1.3b-base
tags:
- generated_from_trainer
model-index:
- name: lemexp-task4-option2_small-deepseek-coder-1.3b-base-ddp-8lr
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. -->
# lemexp-task4-option2_small-deepseek-coder-1.3b-base-ddp-8lr
This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-base](https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0643
## 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: 0.0008
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 16
- total_eval_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 12
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-------:|:-----:|:---------------:|
| 0.1964 | 0.2001 | 629 | 0.1207 |
| 0.1225 | 0.4001 | 1258 | 0.1088 |
| 0.1108 | 0.6002 | 1887 | 0.0987 |
| 0.1024 | 0.8003 | 2516 | 0.0969 |
| 0.0983 | 1.0003 | 3145 | 0.0961 |
| 0.0955 | 1.2004 | 3774 | 0.0957 |
| 0.0941 | 1.4004 | 4403 | 0.0907 |
| 0.09 | 1.6005 | 5032 | 0.0873 |
| 0.0908 | 1.8006 | 5661 | 0.0866 |
| 0.0869 | 2.0006 | 6290 | 0.0929 |
| 0.0879 | 2.2007 | 6919 | 0.0852 |
| 0.0865 | 2.4008 | 7548 | 0.0827 |
| 0.0845 | 2.6008 | 8177 | 0.0800 |
| 0.087 | 2.8009 | 8806 | 0.0829 |
| 0.0835 | 3.0010 | 9435 | 0.0819 |
| 0.0811 | 3.2010 | 10064 | 0.0820 |
| 0.0802 | 3.4011 | 10693 | 0.0771 |
| 0.0794 | 3.6011 | 11322 | 0.0773 |
| 0.0794 | 3.8012 | 11951 | 0.0793 |
| 0.079 | 4.0013 | 12580 | 0.0795 |
| 0.0777 | 4.2013 | 13209 | 0.0781 |
| 0.0746 | 4.4014 | 13838 | 0.0748 |
| 0.076 | 4.6015 | 14467 | 0.0764 |
| 0.0769 | 4.8015 | 15096 | 0.0740 |
| 0.0748 | 5.0016 | 15725 | 0.0766 |
| 0.0734 | 5.2017 | 16354 | 0.0734 |
| 0.0734 | 5.4017 | 16983 | 0.0731 |
| 0.0713 | 5.6018 | 17612 | 0.0739 |
| 0.0733 | 5.8018 | 18241 | 0.0707 |
| 0.0712 | 6.0019 | 18870 | 0.0768 |
| 0.0705 | 6.2020 | 19499 | 0.0712 |
| 0.0692 | 6.4020 | 20128 | 0.0704 |
| 0.0697 | 6.6021 | 20757 | 0.0683 |
| 0.0681 | 6.8022 | 21386 | 0.0681 |
| 0.0688 | 7.0022 | 22015 | 0.0694 |
| 0.0668 | 7.2023 | 22644 | 0.0690 |
| 0.0663 | 7.4024 | 23273 | 0.0682 |
| 0.0669 | 7.6024 | 23902 | 0.0676 |
| 0.0656 | 7.8025 | 24531 | 0.0680 |
| 0.0656 | 8.0025 | 25160 | 0.0675 |
| 0.0635 | 8.2026 | 25789 | 0.0673 |
| 0.0628 | 8.4027 | 26418 | 0.0660 |
| 0.0643 | 8.6027 | 27047 | 0.0662 |
| 0.0632 | 8.8028 | 27676 | 0.0651 |
| 0.0632 | 9.0029 | 28305 | 0.0650 |
| 0.062 | 9.2029 | 28934 | 0.0657 |
| 0.0613 | 9.4030 | 29563 | 0.0659 |
| 0.0611 | 9.6031 | 30192 | 0.0661 |
| 0.0612 | 9.8031 | 30821 | 0.0646 |
| 0.0613 | 10.0032 | 31450 | 0.0633 |
| 0.0589 | 10.2032 | 32079 | 0.0642 |
| 0.0597 | 10.4033 | 32708 | 0.0640 |
| 0.0592 | 10.6034 | 33337 | 0.0633 |
| 0.0593 | 10.8034 | 33966 | 0.0633 |
| 0.0596 | 11.0035 | 34595 | 0.0631 |
| 0.0583 | 11.2036 | 35224 | 0.0636 |
| 0.0581 | 11.4036 | 35853 | 0.0638 |
| 0.0583 | 11.6037 | 36482 | 0.0647 |
| 0.0572 | 11.8038 | 37111 | 0.0643 |
### Framework versions
- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0 |