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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-template_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-task1-template_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: 0.1898
## 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 |
|:-------------:|:-------:|:-----:|:---------------:|
| 0.4568 | 0.2001 | 629 | 0.3546 |
| 0.3564 | 0.4001 | 1258 | 0.3166 |
| 0.3295 | 0.6002 | 1887 | 0.2969 |
| 0.3013 | 0.8003 | 2516 | 0.2892 |
| 0.2925 | 1.0003 | 3145 | 0.2887 |
| 0.2786 | 1.2004 | 3774 | 0.2703 |
| 0.2723 | 1.4004 | 4403 | 0.2618 |
| 0.2636 | 1.6005 | 5032 | 0.2608 |
| 0.2645 | 1.8006 | 5661 | 0.2529 |
| 0.2559 | 2.0006 | 6290 | 0.2550 |
| 0.2525 | 2.2007 | 6919 | 0.2538 |
| 0.245 | 2.4008 | 7548 | 0.2488 |
| 0.2429 | 2.6008 | 8177 | 0.2453 |
| 0.2427 | 2.8009 | 8806 | 0.2432 |
| 0.2384 | 3.0010 | 9435 | 0.2353 |
| 0.2223 | 3.2010 | 10064 | 0.2349 |
| 0.225 | 3.4011 | 10693 | 0.2328 |
| 0.2231 | 3.6011 | 11322 | 0.2276 |
| 0.2231 | 3.8012 | 11951 | 0.2231 |
| 0.221 | 4.0013 | 12580 | 0.2249 |
| 0.2079 | 4.2013 | 13209 | 0.2228 |
| 0.2065 | 4.4014 | 13838 | 0.2215 |
| 0.2115 | 4.6015 | 14467 | 0.2197 |
| 0.2057 | 4.8015 | 15096 | 0.2177 |
| 0.207 | 5.0016 | 15725 | 0.2157 |
| 0.1966 | 5.2017 | 16354 | 0.2147 |
| 0.194 | 5.4017 | 16983 | 0.2137 |
| 0.1925 | 5.6018 | 17612 | 0.2077 |
| 0.1919 | 5.8018 | 18241 | 0.2063 |
| 0.1916 | 6.0019 | 18870 | 0.2064 |
| 0.1857 | 6.2020 | 19499 | 0.2039 |
| 0.177 | 6.4020 | 20128 | 0.2025 |
| 0.1767 | 6.6021 | 20757 | 0.2024 |
| 0.1765 | 6.8022 | 21386 | 0.1962 |
| 0.1782 | 7.0022 | 22015 | 0.1961 |
| 0.161 | 7.2023 | 22644 | 0.1980 |
| 0.1625 | 7.4024 | 23273 | 0.1941 |
| 0.1642 | 7.6024 | 23902 | 0.1966 |
| 0.1625 | 7.8025 | 24531 | 0.1893 |
| 0.161 | 8.0025 | 25160 | 0.1886 |
| 0.1485 | 8.2026 | 25789 | 0.1979 |
| 0.149 | 8.4027 | 26418 | 0.1910 |
| 0.1501 | 8.6027 | 27047 | 0.1879 |
| 0.148 | 8.8028 | 27676 | 0.1857 |
| 0.1501 | 9.0029 | 28305 | 0.1850 |
| 0.1414 | 9.2029 | 28934 | 0.1927 |
| 0.1338 | 9.4030 | 29563 | 0.1879 |
| 0.1342 | 9.6031 | 30192 | 0.1865 |
| 0.1348 | 9.8031 | 30821 | 0.1849 |
| 0.1337 | 10.0032 | 31450 | 0.1834 |
| 0.1202 | 10.2032 | 32079 | 0.1903 |
| 0.1208 | 10.4033 | 32708 | 0.1895 |
| 0.1199 | 10.6034 | 33337 | 0.1878 |
| 0.1213 | 10.8034 | 33966 | 0.1855 |
| 0.1187 | 11.0035 | 34595 | 0.1859 |
| 0.111 | 11.2036 | 35224 | 0.1903 |
| 0.1084 | 11.4036 | 35853 | 0.1884 |
| 0.1079 | 11.6037 | 36482 | 0.1905 |
| 0.1069 | 11.8038 | 37111 | 0.1898 |
### Framework versions
- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0 |