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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-task2-extra_template_small-deepseek-coder-1.3b-base-ddp-8lr
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-task2-extra_template_small-deepseek-coder-1.3b-base-ddp-8lr
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: 0.2989
## 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 |
|:-------------:|:-------:|:-----:|:---------------:|
| 0.4982 | 0.2001 | 629 | 0.4227 |
| 0.4191 | 0.4001 | 1258 | 0.3834 |
| 0.4007 | 0.6002 | 1887 | 0.3733 |
| 0.3777 | 0.8003 | 2516 | 0.3613 |
| 0.3697 | 1.0003 | 3145 | 0.3592 |
| 0.3564 | 1.2004 | 3774 | 0.3499 |
| 0.3528 | 1.4004 | 4403 | 0.3425 |
| 0.3434 | 1.6005 | 5032 | 0.3429 |
| 0.343 | 1.8006 | 5661 | 0.3396 |
| 0.3359 | 2.0006 | 6290 | 0.3350 |
| 0.3331 | 2.2007 | 6919 | 0.3381 |
| 0.3251 | 2.4008 | 7548 | 0.3295 |
| 0.3219 | 2.6008 | 8177 | 0.3243 |
| 0.3245 | 2.8009 | 8806 | 0.3223 |
| 0.3188 | 3.0010 | 9435 | 0.3201 |
| 0.3026 | 3.2010 | 10064 | 0.3177 |
| 0.3037 | 3.4011 | 10693 | 0.3137 |
| 0.3035 | 3.6011 | 11322 | 0.3118 |
| 0.3035 | 3.8012 | 11951 | 0.3108 |
| 0.303 | 4.0013 | 12580 | 0.3077 |
| 0.2883 | 4.2013 | 13209 | 0.3080 |
| 0.285 | 4.4014 | 13838 | 0.3050 |
| 0.2892 | 4.6015 | 14467 | 0.3043 |
| 0.2843 | 4.8015 | 15096 | 0.3027 |
| 0.2862 | 5.0016 | 15725 | 0.2996 |
| 0.2747 | 5.2017 | 16354 | 0.3004 |
| 0.2707 | 5.4017 | 16983 | 0.2987 |
| 0.2696 | 5.6018 | 17612 | 0.2933 |
| 0.27 | 5.8018 | 18241 | 0.2947 |
| 0.2696 | 6.0019 | 18870 | 0.2924 |
| 0.2637 | 6.2020 | 19499 | 0.2906 |
| 0.2514 | 6.4020 | 20128 | 0.2877 |
| 0.2527 | 6.6021 | 20757 | 0.2886 |
| 0.2508 | 6.8022 | 21386 | 0.2874 |
| 0.2556 | 7.0022 | 22015 | 0.2872 |
| 0.2333 | 7.2023 | 22644 | 0.2865 |
| 0.2346 | 7.4024 | 23273 | 0.2894 |
| 0.2356 | 7.6024 | 23902 | 0.2828 |
| 0.2365 | 7.8025 | 24531 | 0.2835 |
| 0.2333 | 8.0025 | 25160 | 0.2823 |
| 0.2175 | 8.2026 | 25789 | 0.2837 |
| 0.217 | 8.4027 | 26418 | 0.2835 |
| 0.2182 | 8.6027 | 27047 | 0.2822 |
| 0.2167 | 8.8028 | 27676 | 0.2783 |
| 0.2185 | 9.0029 | 28305 | 0.2812 |
| 0.207 | 9.2029 | 28934 | 0.2839 |
| 0.1969 | 9.4030 | 29563 | 0.2846 |
| 0.1983 | 9.6031 | 30192 | 0.2806 |
| 0.1989 | 9.8031 | 30821 | 0.2794 |
| 0.1968 | 10.0032 | 31450 | 0.2855 |
| 0.1769 | 10.2032 | 32079 | 0.2928 |
| 0.179 | 10.4033 | 32708 | 0.2907 |
| 0.1778 | 10.6034 | 33337 | 0.2901 |
| 0.1789 | 10.8034 | 33966 | 0.2888 |
| 0.1767 | 11.0035 | 34595 | 0.2875 |
| 0.1635 | 11.2036 | 35224 | 0.2963 |
| 0.1608 | 11.4036 | 35853 | 0.3001 |
| 0.1603 | 11.6037 | 36482 | 0.3000 |
| 0.1594 | 11.8038 | 37111 | 0.2989 |
### Framework versions
- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0 |