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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_full_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_full_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: 0.1580
## 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 |
|:-------------:|:-----:|:------:|:---------------:|
| 0.323 | 0.2 | 3094 | 0.3202 |
| 0.298 | 0.4 | 6188 | 0.3000 |
| 0.2894 | 0.6 | 9282 | 0.2873 |
| 0.2822 | 0.8 | 12376 | 0.2833 |
| 0.277 | 1.0 | 15470 | 0.2830 |
| 0.2735 | 1.2 | 18564 | 0.2703 |
| 0.2697 | 1.4 | 21658 | 0.2622 |
| 0.2644 | 1.6 | 24752 | 0.2595 |
| 0.2639 | 1.8 | 27846 | 0.2525 |
| 0.259 | 2.0 | 30940 | 0.2543 |
| 0.2525 | 2.2 | 34034 | 0.2585 |
| 0.2527 | 2.4 | 37128 | 0.2484 |
| 0.2479 | 2.6 | 40222 | 0.2459 |
| 0.2474 | 2.8 | 43316 | 0.2459 |
| 0.2446 | 3.0 | 46410 | 0.2534 |
| 0.2406 | 3.2 | 49504 | 0.2390 |
| 0.2406 | 3.4 | 52598 | 0.2351 |
| 0.236 | 3.6 | 55692 | 0.2347 |
| 0.2342 | 3.8 | 58786 | 0.2295 |
| 0.235 | 4.0 | 61880 | 0.2346 |
| 0.2275 | 4.2 | 64974 | 0.2235 |
| 0.2234 | 4.4 | 68068 | 0.2277 |
| 0.2231 | 4.6 | 71162 | 0.2263 |
| 0.2181 | 4.8 | 74256 | 0.2214 |
| 0.2177 | 5.0 | 77350 | 0.2195 |
| 0.2153 | 5.2 | 80444 | 0.2148 |
| 0.2134 | 5.4 | 83538 | 0.2133 |
| 0.2115 | 5.6 | 86632 | 0.2122 |
| 0.2102 | 5.8 | 89726 | 0.2129 |
| 0.2063 | 6.0 | 92820 | 0.2095 |
| 0.2021 | 6.2 | 95914 | 0.2089 |
| 0.2007 | 6.4 | 99008 | 0.2052 |
| 0.2002 | 6.6 | 102102 | 0.2038 |
| 0.2011 | 6.8 | 105196 | 0.1991 |
| 0.1965 | 7.0 | 108290 | 0.1989 |
| 0.1892 | 7.2 | 111384 | 0.1965 |
| 0.1871 | 7.4 | 114478 | 0.1933 |
| 0.1891 | 7.6 | 117572 | 0.1976 |
| 0.1866 | 7.8 | 120666 | 0.1919 |
| 0.1856 | 8.0 | 123760 | 0.1932 |
| 0.1757 | 8.2 | 126854 | 0.1914 |
| 0.1758 | 8.4 | 129948 | 0.1854 |
| 0.1739 | 8.6 | 133042 | 0.1827 |
| 0.1772 | 8.8 | 136136 | 0.1812 |
| 0.1746 | 9.0 | 139230 | 0.1789 |
| 0.1653 | 9.2 | 142324 | 0.1767 |
| 0.165 | 9.4 | 145418 | 0.1739 |
| 0.1644 | 9.6 | 148512 | 0.1730 |
| 0.163 | 9.8 | 151606 | 0.1720 |
| 0.1587 | 10.0 | 154700 | 0.1699 |
| 0.1536 | 10.2 | 157794 | 0.1684 |
| 0.1508 | 10.4 | 160888 | 0.1662 |
| 0.1516 | 10.6 | 163982 | 0.1665 |
| 0.1494 | 10.8 | 167076 | 0.1640 |
| 0.1494 | 11.0 | 170170 | 0.1621 |
| 0.1419 | 11.2 | 173264 | 0.1627 |
| 0.1388 | 11.4 | 176358 | 0.1603 |
| 0.1384 | 11.6 | 179452 | 0.1588 |
| 0.1376 | 11.8 | 182546 | 0.1583 |
| 0.1387 | 12.0 | 185640 | 0.1580 |
### Framework versions
- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0 |