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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-task1-v2-template_small_notypes-deepseek-coder-1.3b-base-ddp-8lr-v2
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-task1-v2-template_small_notypes-deepseek-coder-1.3b-base-ddp-8lr-v2
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: 0.1711
## 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 |
|:-------------:|:-------:|:-----:|:---------------:|
| 0.4293 | 0.2001 | 720 | 0.3388 |
| 0.324 | 0.4001 | 1440 | 0.2977 |
| 0.282 | 0.6002 | 2160 | 0.2814 |
| 0.2707 | 0.8002 | 2880 | 0.2713 |
| 0.2595 | 1.0003 | 3600 | 0.2822 |
| 0.2434 | 1.2003 | 4320 | 0.2586 |
| 0.2403 | 1.4004 | 5040 | 0.2458 |
| 0.2355 | 1.6004 | 5760 | 0.2513 |
| 0.2342 | 1.8005 | 6480 | 0.2404 |
| 0.2284 | 2.0006 | 7200 | 0.2346 |
| 0.2176 | 2.2006 | 7920 | 0.2339 |
| 0.2148 | 2.4007 | 8640 | 0.2315 |
| 0.2127 | 2.6007 | 9360 | 0.2236 |
| 0.2108 | 2.8008 | 10080 | 0.2300 |
| 0.2124 | 3.0008 | 10800 | 0.2186 |
| 0.1962 | 3.2009 | 11520 | 0.2232 |
| 0.1993 | 3.4009 | 12240 | 0.2160 |
| 0.1944 | 3.6010 | 12960 | 0.2141 |
| 0.1945 | 3.8011 | 13680 | 0.2150 |
| 0.1934 | 4.0011 | 14400 | 0.2132 |
| 0.182 | 4.2012 | 15120 | 0.2050 |
| 0.1817 | 4.4012 | 15840 | 0.2079 |
| 0.1809 | 4.6013 | 16560 | 0.2013 |
| 0.1805 | 4.8013 | 17280 | 0.2045 |
| 0.1768 | 5.0014 | 18000 | 0.1979 |
| 0.1661 | 5.2014 | 18720 | 0.1919 |
| 0.1673 | 5.4015 | 19440 | 0.1962 |
| 0.1679 | 5.6016 | 20160 | 0.1925 |
| 0.168 | 5.8016 | 20880 | 0.1873 |
| 0.1623 | 6.0017 | 21600 | 0.1869 |
| 0.155 | 6.2017 | 22320 | 0.1875 |
| 0.1551 | 6.4018 | 23040 | 0.1869 |
| 0.1521 | 6.6018 | 23760 | 0.1870 |
| 0.1536 | 6.8019 | 24480 | 0.1816 |
| 0.1506 | 7.0019 | 25200 | 0.1825 |
| 0.1417 | 7.2020 | 25920 | 0.1867 |
| 0.1405 | 7.4021 | 26640 | 0.1795 |
| 0.1409 | 7.6021 | 27360 | 0.1808 |
| 0.1384 | 7.8022 | 28080 | 0.1754 |
| 0.1409 | 8.0022 | 28800 | 0.1767 |
| 0.1271 | 8.2023 | 29520 | 0.1753 |
| 0.1258 | 8.4023 | 30240 | 0.1742 |
| 0.1279 | 8.6024 | 30960 | 0.1737 |
| 0.126 | 8.8024 | 31680 | 0.1709 |
| 0.1255 | 9.0025 | 32400 | 0.1688 |
| 0.1138 | 9.2026 | 33120 | 0.1734 |
| 0.1134 | 9.4026 | 33840 | 0.1709 |
| 0.1149 | 9.6027 | 34560 | 0.1697 |
| 0.1143 | 9.8027 | 35280 | 0.1681 |
| 0.1106 | 10.0028 | 36000 | 0.1651 |
| 0.1011 | 10.2028 | 36720 | 0.1698 |
| 0.1004 | 10.4029 | 37440 | 0.1672 |
| 0.1003 | 10.6029 | 38160 | 0.1698 |
| 0.1004 | 10.8030 | 38880 | 0.1681 |
| 0.0999 | 11.0031 | 39600 | 0.1660 |
| 0.091 | 11.2031 | 40320 | 0.1721 |
| 0.0901 | 11.4032 | 41040 | 0.1714 |
| 0.0886 | 11.6032 | 41760 | 0.1719 |
| 0.0885 | 11.8033 | 42480 | 0.1711 |
### Framework versions
- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0 |