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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-task4-v2-small_no_symbols-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-task4-v2-small_no_symbols-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: 0.0427
## 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 |
|:-------------:|:-------:|:-----:|:---------------:|
| 0.1596 | 0.2001 | 720 | 0.0929 |
| 0.0915 | 0.4001 | 1440 | 0.0789 |
| 0.0761 | 0.6002 | 2160 | 0.0721 |
| 0.073 | 0.8002 | 2880 | 0.0659 |
| 0.0693 | 1.0003 | 3600 | 0.0646 |
| 0.067 | 1.2003 | 4320 | 0.0617 |
| 0.066 | 1.4004 | 5040 | 0.0618 |
| 0.0652 | 1.6004 | 5760 | 0.0624 |
| 0.0663 | 1.8005 | 6480 | 0.0611 |
| 0.0645 | 2.0006 | 7200 | 0.0610 |
| 0.0612 | 2.2006 | 7920 | 0.0605 |
| 0.0599 | 2.4007 | 8640 | 0.0583 |
| 0.0586 | 2.6007 | 9360 | 0.0555 |
| 0.0586 | 2.8008 | 10080 | 0.0561 |
| 0.0589 | 3.0008 | 10800 | 0.0564 |
| 0.0576 | 3.2009 | 11520 | 0.0545 |
| 0.0566 | 3.4009 | 12240 | 0.0560 |
| 0.0574 | 3.6010 | 12960 | 0.0523 |
| 0.0547 | 3.8011 | 13680 | 0.0623 |
| 0.0565 | 4.0011 | 14400 | 0.0518 |
| 0.0524 | 4.2012 | 15120 | 0.0513 |
| 0.0537 | 4.4012 | 15840 | 0.0494 |
| 0.0527 | 4.6013 | 16560 | 0.0483 |
| 0.054 | 4.8013 | 17280 | 0.0492 |
| 0.0527 | 5.0014 | 18000 | 0.0503 |
| 0.0509 | 5.2014 | 18720 | 0.0483 |
| 0.0502 | 5.4015 | 19440 | 0.0515 |
| 0.0518 | 5.6016 | 20160 | 0.0481 |
| 0.0507 | 5.8016 | 20880 | 0.0496 |
| 0.0495 | 6.0017 | 21600 | 0.0484 |
| 0.0483 | 6.2017 | 22320 | 0.0504 |
| 0.0485 | 6.4018 | 23040 | 0.0466 |
| 0.0485 | 6.6018 | 23760 | 0.0462 |
| 0.0482 | 6.8019 | 24480 | 0.0486 |
| 0.0467 | 7.0019 | 25200 | 0.0459 |
| 0.0465 | 7.2020 | 25920 | 0.0461 |
| 0.0461 | 7.4021 | 26640 | 0.0476 |
| 0.0471 | 7.6021 | 27360 | 0.0460 |
| 0.046 | 7.8022 | 28080 | 0.0439 |
| 0.0455 | 8.0022 | 28800 | 0.0458 |
| 0.0458 | 8.2023 | 29520 | 0.0454 |
| 0.0451 | 8.4023 | 30240 | 0.0444 |
| 0.0445 | 8.6024 | 30960 | 0.0444 |
| 0.0437 | 8.8024 | 31680 | 0.0435 |
| 0.0442 | 9.0025 | 32400 | 0.0436 |
| 0.0433 | 9.2026 | 33120 | 0.0432 |
| 0.0434 | 9.4026 | 33840 | 0.0433 |
| 0.0435 | 9.6027 | 34560 | 0.0433 |
| 0.043 | 9.8027 | 35280 | 0.0433 |
| 0.0427 | 10.0028 | 36000 | 0.0430 |
| 0.0427 | 10.2028 | 36720 | 0.0426 |
| 0.0419 | 10.4029 | 37440 | 0.0423 |
| 0.0419 | 10.6029 | 38160 | 0.0424 |
| 0.0417 | 10.8030 | 38880 | 0.0426 |
| 0.0415 | 11.0031 | 39600 | 0.0422 |
| 0.0415 | 11.2031 | 40320 | 0.0427 |
| 0.0414 | 11.4032 | 41040 | 0.0425 |
| 0.0414 | 11.6032 | 41760 | 0.0425 |
| 0.0413 | 11.8033 | 42480 | 0.0427 |
### Framework versions
- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0 |