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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
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
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: 0.2115
## 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: 0.0002
- 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 |
|:-------------:|:-------:|:-----:|:---------------:|
| 0.5172 | 0.2001 | 629 | 0.3780 |
| 0.3747 | 0.4001 | 1258 | 0.3336 |
| 0.3399 | 0.6002 | 1887 | 0.3039 |
| 0.3014 | 0.8003 | 2516 | 0.2870 |
| 0.2891 | 1.0003 | 3145 | 0.2798 |
| 0.2721 | 1.2004 | 3774 | 0.2671 |
| 0.2643 | 1.4004 | 4403 | 0.2577 |
| 0.2522 | 1.6005 | 5032 | 0.2514 |
| 0.2496 | 1.8006 | 5661 | 0.2455 |
| 0.2426 | 2.0006 | 6290 | 0.2414 |
| 0.2365 | 2.2007 | 6919 | 0.2360 |
| 0.2267 | 2.4008 | 7548 | 0.2346 |
| 0.2223 | 2.6008 | 8177 | 0.2306 |
| 0.2225 | 2.8009 | 8806 | 0.2264 |
| 0.218 | 3.0010 | 9435 | 0.2238 |
| 0.2003 | 3.2010 | 10064 | 0.2245 |
| 0.2015 | 3.4011 | 10693 | 0.2217 |
| 0.2019 | 3.6011 | 11322 | 0.2167 |
| 0.2 | 3.8012 | 11951 | 0.2136 |
| 0.1991 | 4.0013 | 12580 | 0.2127 |
| 0.1848 | 4.2013 | 13209 | 0.2149 |
| 0.1831 | 4.4014 | 13838 | 0.2123 |
| 0.1867 | 4.6015 | 14467 | 0.2114 |
| 0.1819 | 4.8015 | 15096 | 0.2091 |
| 0.1833 | 5.0016 | 15725 | 0.2065 |
| 0.1741 | 5.2017 | 16354 | 0.2082 |
| 0.1699 | 5.4017 | 16983 | 0.2067 |
| 0.1689 | 5.6018 | 17612 | 0.2049 |
| 0.1692 | 5.8018 | 18241 | 0.2029 |
| 0.1703 | 6.0019 | 18870 | 0.2057 |
| 0.1649 | 6.2020 | 19499 | 0.2055 |
| 0.1563 | 6.4020 | 20128 | 0.2076 |
| 0.1568 | 6.6021 | 20757 | 0.2033 |
| 0.1559 | 6.8022 | 21386 | 0.2007 |
| 0.159 | 7.0022 | 22015 | 0.2013 |
| 0.1446 | 7.2023 | 22644 | 0.2051 |
| 0.1455 | 7.4024 | 23273 | 0.2031 |
| 0.147 | 7.6024 | 23902 | 0.2053 |
| 0.1478 | 7.8025 | 24531 | 0.1988 |
| 0.1462 | 8.0025 | 25160 | 0.2023 |
| 0.1371 | 8.2026 | 25789 | 0.2073 |
| 0.1374 | 8.4027 | 26418 | 0.2018 |
| 0.1382 | 8.6027 | 27047 | 0.2013 |
| 0.136 | 8.8028 | 27676 | 0.2036 |
| 0.1396 | 9.0029 | 28305 | 0.2004 |
| 0.1335 | 9.2029 | 28934 | 0.2069 |
| 0.1278 | 9.4030 | 29563 | 0.2079 |
| 0.1295 | 9.6031 | 30192 | 0.2053 |
| 0.1303 | 9.8031 | 30821 | 0.2066 |
| 0.129 | 10.0032 | 31450 | 0.2040 |
| 0.1208 | 10.2032 | 32079 | 0.2099 |
| 0.1219 | 10.4033 | 32708 | 0.2096 |
| 0.1219 | 10.6034 | 33337 | 0.2105 |
| 0.1217 | 10.8034 | 33966 | 0.2082 |
| 0.1208 | 11.0035 | 34595 | 0.2093 |
| 0.1181 | 11.2036 | 35224 | 0.2118 |
| 0.1154 | 11.4036 | 35853 | 0.2144 |
| 0.115 | 11.6037 | 36482 | 0.2130 |
| 0.1156 | 11.8038 | 37111 | 0.2115 |
### Framework versions
- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0 |