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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-16lr
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-16lr
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: 0.1929
## 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: 0.0016
- 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 |
|:-------------:|:-------:|:-----:|:---------------:|
| 0.4772 | 0.2001 | 629 | 0.4112 |
| 0.4066 | 0.4001 | 1258 | 0.3807 |
| 0.3923 | 0.6002 | 1887 | 0.3649 |
| 0.3729 | 0.8003 | 2516 | 0.3560 |
| 0.3662 | 1.0003 | 3145 | 0.3598 |
| 0.3568 | 1.2004 | 3774 | 0.3533 |
| 0.3522 | 1.4004 | 4403 | 0.3413 |
| 0.343 | 1.6005 | 5032 | 0.3337 |
| 0.344 | 1.8006 | 5661 | 0.3246 |
| 0.3354 | 2.0006 | 6290 | 0.3290 |
| 0.3327 | 2.2007 | 6919 | 0.3208 |
| 0.3268 | 2.4008 | 7548 | 0.3241 |
| 0.3223 | 2.6008 | 8177 | 0.3132 |
| 0.3219 | 2.8009 | 8806 | 0.3095 |
| 0.3164 | 3.0010 | 9435 | 0.2977 |
| 0.3058 | 3.2010 | 10064 | 0.3032 |
| 0.305 | 3.4011 | 10693 | 0.2991 |
| 0.3032 | 3.6011 | 11322 | 0.2902 |
| 0.2982 | 3.8012 | 11951 | 0.2901 |
| 0.2976 | 4.0013 | 12580 | 0.2882 |
| 0.2892 | 4.2013 | 13209 | 0.2873 |
| 0.2842 | 4.4014 | 13838 | 0.2778 |
| 0.2861 | 4.6015 | 14467 | 0.2803 |
| 0.2787 | 4.8015 | 15096 | 0.2721 |
| 0.2763 | 5.0016 | 15725 | 0.2807 |
| 0.2701 | 5.2017 | 16354 | 0.2725 |
| 0.268 | 5.4017 | 16983 | 0.2694 |
| 0.2648 | 5.6018 | 17612 | 0.2632 |
| 0.2593 | 5.8018 | 18241 | 0.2549 |
| 0.2586 | 6.0019 | 18870 | 0.2557 |
| 0.2546 | 6.2020 | 19499 | 0.2506 |
| 0.2437 | 6.4020 | 20128 | 0.2555 |
| 0.243 | 6.6021 | 20757 | 0.2447 |
| 0.2394 | 6.8022 | 21386 | 0.2438 |
| 0.2413 | 7.0022 | 22015 | 0.2396 |
| 0.2263 | 7.2023 | 22644 | 0.2373 |
| 0.2254 | 7.4024 | 23273 | 0.2338 |
| 0.2239 | 7.6024 | 23902 | 0.2310 |
| 0.2214 | 7.8025 | 24531 | 0.2264 |
| 0.2173 | 8.0025 | 25160 | 0.2226 |
| 0.2056 | 8.2026 | 25789 | 0.2225 |
| 0.2059 | 8.4027 | 26418 | 0.2230 |
| 0.2038 | 8.6027 | 27047 | 0.2135 |
| 0.2012 | 8.8028 | 27676 | 0.2123 |
| 0.2016 | 9.0029 | 28305 | 0.2136 |
| 0.1917 | 9.2029 | 28934 | 0.2101 |
| 0.184 | 9.4030 | 29563 | 0.2093 |
| 0.1832 | 9.6031 | 30192 | 0.2069 |
| 0.1821 | 9.8031 | 30821 | 0.2025 |
| 0.1795 | 10.0032 | 31450 | 0.2024 |
| 0.1626 | 10.2032 | 32079 | 0.2010 |
| 0.1627 | 10.4033 | 32708 | 0.1974 |
| 0.1612 | 10.6034 | 33337 | 0.2005 |
| 0.1613 | 10.8034 | 33966 | 0.1960 |
| 0.1574 | 11.0035 | 34595 | 0.1936 |
| 0.1459 | 11.2036 | 35224 | 0.1970 |
| 0.1426 | 11.4036 | 35853 | 0.1954 |
| 0.1403 | 11.6037 | 36482 | 0.1944 |
| 0.1384 | 11.8038 | 37111 | 0.1929 |
### Framework versions
- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0 |