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---
library_name: peft
license: other
base_model: deepseek-ai/deepseek-coder-6.7b-base
tags:
- base_model:adapter:deepseek-ai/deepseek-coder-6.7b-base
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: lemexp-task1-v3-lemma_object_small_nodefs-deepseek-coder-6.7b-base
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-v3-lemma_object_small_nodefs-deepseek-coder-6.7b-base
This model is a fine-tuned version of [deepseek-ai/deepseek-coder-6.7b-base](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2294
## 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: 0.0004
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 16
- total_eval_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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 |
|:-------------:|:-------:|:-----:|:---------------:|
| 0.4045 | 0.2001 | 720 | 0.3253 |
| 0.3156 | 0.4001 | 1440 | 0.2905 |
| 0.2636 | 0.6002 | 2160 | 0.2644 |
| 0.2455 | 0.8002 | 2880 | 0.2401 |
| 0.227 | 1.0003 | 3600 | 0.2328 |
| 0.1903 | 1.2003 | 4320 | 0.2267 |
| 0.1872 | 1.4004 | 5040 | 0.2187 |
| 0.1831 | 1.6004 | 5760 | 0.2105 |
| 0.1785 | 1.8005 | 6480 | 0.2082 |
| 0.1736 | 2.0006 | 7200 | 0.1973 |
| 0.1512 | 2.2006 | 7920 | 0.1999 |
| 0.1414 | 2.4007 | 8640 | 0.1973 |
| 0.1413 | 2.6007 | 9360 | 0.1891 |
| 0.1397 | 2.8008 | 10080 | 0.1857 |
| 0.1401 | 3.0008 | 10800 | 0.1840 |
| 0.1111 | 3.2009 | 11520 | 0.1837 |
| 0.1135 | 3.4009 | 12240 | 0.1819 |
| 0.1138 | 3.6010 | 12960 | 0.1821 |
| 0.1133 | 3.8011 | 13680 | 0.1799 |
| 0.1147 | 4.0011 | 14400 | 0.1769 |
| 0.0871 | 4.2012 | 15120 | 0.1822 |
| 0.0902 | 4.4012 | 15840 | 0.1860 |
| 0.0921 | 4.6013 | 16560 | 0.1809 |
| 0.0956 | 4.8013 | 17280 | 0.1696 |
| 0.0932 | 5.0014 | 18000 | 0.1711 |
| 0.0706 | 5.2014 | 18720 | 0.1792 |
| 0.0715 | 5.4015 | 19440 | 0.1803 |
| 0.075 | 5.6016 | 20160 | 0.1746 |
| 0.0775 | 5.8016 | 20880 | 0.1798 |
| 0.0759 | 6.0017 | 21600 | 0.1766 |
| 0.0604 | 6.2017 | 22320 | 0.1849 |
| 0.0608 | 6.4018 | 23040 | 0.1875 |
| 0.0626 | 6.6018 | 23760 | 0.1774 |
| 0.0614 | 6.8019 | 24480 | 0.1776 |
| 0.0622 | 7.0019 | 25200 | 0.1798 |
| 0.0505 | 7.2020 | 25920 | 0.1918 |
| 0.0475 | 7.4021 | 26640 | 0.1941 |
| 0.0487 | 7.6021 | 27360 | 0.1886 |
| 0.0507 | 7.8022 | 28080 | 0.1860 |
| 0.0507 | 8.0022 | 28800 | 0.1883 |
| 0.0372 | 8.2023 | 29520 | 0.2032 |
| 0.0368 | 8.4023 | 30240 | 0.1974 |
| 0.0383 | 8.6024 | 30960 | 0.1965 |
| 0.0387 | 8.8024 | 31680 | 0.1971 |
| 0.0395 | 9.0025 | 32400 | 0.1936 |
| 0.0277 | 9.2026 | 33120 | 0.2076 |
| 0.0287 | 9.4026 | 33840 | 0.1991 |
| 0.0305 | 9.6027 | 34560 | 0.2040 |
| 0.0315 | 9.8027 | 35280 | 0.2068 |
| 0.0305 | 10.0028 | 36000 | 0.1999 |
| 0.0228 | 10.2028 | 36720 | 0.2139 |
| 0.0226 | 10.4029 | 37440 | 0.2154 |
| 0.0237 | 10.6029 | 38160 | 0.2152 |
| 0.0236 | 10.8030 | 38880 | 0.2104 |
| 0.0236 | 11.0031 | 39600 | 0.2112 |
| 0.0192 | 11.2031 | 40320 | 0.2329 |
| 0.0186 | 11.4032 | 41040 | 0.2319 |
| 0.0184 | 11.6032 | 41760 | 0.2299 |
| 0.0189 | 11.8033 | 42480 | 0.2294 |
### Framework versions
- PEFT 0.17.1
- Transformers 4.55.4
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.21.4 |