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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-task3-v2-small_no_defs-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-task3-v2-small_no_defs-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: 0.1245
## 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 |
|:-------------:|:-------:|:-----:|:---------------:|
| 0.4237 | 0.2001 | 720 | 0.2939 |
| 0.2873 | 0.4001 | 1440 | 0.2619 |
| 0.2345 | 0.6002 | 2160 | 0.2396 |
| 0.2212 | 0.8002 | 2880 | 0.2263 |
| 0.2041 | 1.0003 | 3600 | 0.2142 |
| 0.1872 | 1.2003 | 4320 | 0.2103 |
| 0.1829 | 1.4004 | 5040 | 0.1951 |
| 0.1807 | 1.6004 | 5760 | 0.1921 |
| 0.1776 | 1.8005 | 6480 | 0.1884 |
| 0.1759 | 2.0006 | 7200 | 0.1840 |
| 0.1658 | 2.2006 | 7920 | 0.1791 |
| 0.1627 | 2.4007 | 8640 | 0.1727 |
| 0.1574 | 2.6007 | 9360 | 0.1716 |
| 0.1571 | 2.8008 | 10080 | 0.1727 |
| 0.1549 | 3.0008 | 10800 | 0.1675 |
| 0.1441 | 3.2009 | 11520 | 0.1620 |
| 0.1447 | 3.4009 | 12240 | 0.1606 |
| 0.1433 | 3.6010 | 12960 | 0.1668 |
| 0.1409 | 3.8011 | 13680 | 0.1674 |
| 0.1415 | 4.0011 | 14400 | 0.1585 |
| 0.1282 | 4.2012 | 15120 | 0.1583 |
| 0.1332 | 4.4012 | 15840 | 0.1567 |
| 0.1296 | 4.6013 | 16560 | 0.1559 |
| 0.1332 | 4.8013 | 17280 | 0.1477 |
| 0.1268 | 5.0014 | 18000 | 0.1507 |
| 0.1176 | 5.2014 | 18720 | 0.1490 |
| 0.1166 | 5.4015 | 19440 | 0.1494 |
| 0.1196 | 5.6016 | 20160 | 0.1442 |
| 0.1193 | 5.8016 | 20880 | 0.1416 |
| 0.1156 | 6.0017 | 21600 | 0.1390 |
| 0.1067 | 6.2017 | 22320 | 0.1446 |
| 0.1069 | 6.4018 | 23040 | 0.1418 |
| 0.1085 | 6.6018 | 23760 | 0.1385 |
| 0.1062 | 6.8019 | 24480 | 0.1312 |
| 0.1074 | 7.0019 | 25200 | 0.1343 |
| 0.0986 | 7.2020 | 25920 | 0.1362 |
| 0.0965 | 7.4021 | 26640 | 0.1360 |
| 0.0967 | 7.6021 | 27360 | 0.1335 |
| 0.0955 | 7.8022 | 28080 | 0.1275 |
| 0.0986 | 8.0022 | 28800 | 0.1328 |
| 0.0876 | 8.2023 | 29520 | 0.1348 |
| 0.0867 | 8.4023 | 30240 | 0.1314 |
| 0.087 | 8.6024 | 30960 | 0.1290 |
| 0.0863 | 8.8024 | 31680 | 0.1261 |
| 0.087 | 9.0025 | 32400 | 0.1244 |
| 0.0775 | 9.2026 | 33120 | 0.1293 |
| 0.0768 | 9.4026 | 33840 | 0.1260 |
| 0.0797 | 9.6027 | 34560 | 0.1277 |
| 0.0779 | 9.8027 | 35280 | 0.1234 |
| 0.0765 | 10.0028 | 36000 | 0.1230 |
| 0.0692 | 10.2028 | 36720 | 0.1267 |
| 0.0697 | 10.4029 | 37440 | 0.1259 |
| 0.0691 | 10.6029 | 38160 | 0.1263 |
| 0.0692 | 10.8030 | 38880 | 0.1229 |
| 0.0694 | 11.0031 | 39600 | 0.1227 |
| 0.0647 | 11.2031 | 40320 | 0.1255 |
| 0.0632 | 11.4032 | 41040 | 0.1250 |
| 0.0636 | 11.6032 | 41760 | 0.1260 |
| 0.0626 | 11.8033 | 42480 | 0.1245 |
### Framework versions
- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0 |