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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-min_symbols_template_small-deepseek-coder-1.3b-base-ddp-12lr
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-min_symbols_template_small-deepseek-coder-1.3b-base-ddp-12lr
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: 0.1883
## 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: 0.0012
- 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 |
|:-------------:|:-------:|:-----:|:---------------:|
| 0.4609 | 0.2001 | 629 | 0.3805 |
| 0.375 | 0.4001 | 1258 | 0.3388 |
| 0.3568 | 0.6002 | 1887 | 0.3382 |
| 0.3333 | 0.8003 | 2516 | 0.3202 |
| 0.3268 | 1.0003 | 3145 | 0.3155 |
| 0.3143 | 1.2004 | 3774 | 0.3031 |
| 0.3086 | 1.4004 | 4403 | 0.2994 |
| 0.3016 | 1.6005 | 5032 | 0.2918 |
| 0.2998 | 1.8006 | 5661 | 0.2850 |
| 0.2925 | 2.0006 | 6290 | 0.2894 |
| 0.2914 | 2.2007 | 6919 | 0.2819 |
| 0.2845 | 2.4008 | 7548 | 0.2798 |
| 0.2805 | 2.6008 | 8177 | 0.2719 |
| 0.2794 | 2.8009 | 8806 | 0.2709 |
| 0.277 | 3.0010 | 9435 | 0.2721 |
| 0.2629 | 3.2010 | 10064 | 0.2637 |
| 0.2647 | 3.4011 | 10693 | 0.2616 |
| 0.262 | 3.6011 | 11322 | 0.2602 |
| 0.2604 | 3.8012 | 11951 | 0.2553 |
| 0.2573 | 4.0013 | 12580 | 0.2573 |
| 0.2471 | 4.2013 | 13209 | 0.2583 |
| 0.2444 | 4.4014 | 13838 | 0.2479 |
| 0.2486 | 4.6015 | 14467 | 0.2466 |
| 0.2419 | 4.8015 | 15096 | 0.2497 |
| 0.2402 | 5.0016 | 15725 | 0.2444 |
| 0.2331 | 5.2017 | 16354 | 0.2394 |
| 0.2304 | 5.4017 | 16983 | 0.2373 |
| 0.227 | 5.6018 | 17612 | 0.2367 |
| 0.2244 | 5.8018 | 18241 | 0.2306 |
| 0.2253 | 6.0019 | 18870 | 0.2269 |
| 0.2196 | 6.2020 | 19499 | 0.2221 |
| 0.209 | 6.4020 | 20128 | 0.2237 |
| 0.2101 | 6.6021 | 20757 | 0.2236 |
| 0.2066 | 6.8022 | 21386 | 0.2186 |
| 0.2095 | 7.0022 | 22015 | 0.2159 |
| 0.1933 | 7.2023 | 22644 | 0.2144 |
| 0.1937 | 7.4024 | 23273 | 0.2134 |
| 0.1931 | 7.6024 | 23902 | 0.2154 |
| 0.1917 | 7.8025 | 24531 | 0.2085 |
| 0.1889 | 8.0025 | 25160 | 0.2077 |
| 0.1767 | 8.2026 | 25789 | 0.2079 |
| 0.1769 | 8.4027 | 26418 | 0.2033 |
| 0.1759 | 8.6027 | 27047 | 0.1997 |
| 0.1735 | 8.8028 | 27676 | 0.1973 |
| 0.1751 | 9.0029 | 28305 | 0.1951 |
| 0.1658 | 9.2029 | 28934 | 0.1975 |
| 0.1581 | 9.4030 | 29563 | 0.1956 |
| 0.1575 | 9.6031 | 30192 | 0.1923 |
| 0.1573 | 9.8031 | 30821 | 0.1896 |
| 0.1558 | 10.0032 | 31450 | 0.1931 |
| 0.1403 | 10.2032 | 32079 | 0.1932 |
| 0.1402 | 10.4033 | 32708 | 0.1900 |
| 0.1396 | 10.6034 | 33337 | 0.1894 |
| 0.1395 | 10.8034 | 33966 | 0.1881 |
| 0.1367 | 11.0035 | 34595 | 0.1879 |
| 0.1269 | 11.2036 | 35224 | 0.1918 |
| 0.1233 | 11.4036 | 35853 | 0.1899 |
| 0.1226 | 11.6037 | 36482 | 0.1893 |
| 0.1212 | 11.8038 | 37111 | 0.1883 |
### Framework versions
- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0 |