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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-template_small-deepseek-coder-1.3b-base-ddp-8lr-1bs
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-template_small-deepseek-coder-1.3b-base-ddp-8lr-1bs
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: 0.1927
## 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: 1
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 8
- 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 |
|:-------------:|:-------:|:-----:|:---------------:|
| 0.3957 | 0.2001 | 1258 | 0.3826 |
| 0.3477 | 0.4002 | 2516 | 0.3397 |
| 0.3363 | 0.6003 | 3774 | 0.3289 |
| 0.3209 | 0.8004 | 5032 | 0.3253 |
| 0.3156 | 1.0005 | 6290 | 0.3069 |
| 0.3004 | 1.2006 | 7548 | 0.3068 |
| 0.3008 | 1.4007 | 8806 | 0.2984 |
| 0.2906 | 1.6008 | 10064 | 0.2998 |
| 0.2945 | 1.8009 | 11322 | 0.2932 |
| 0.2894 | 2.0010 | 12580 | 0.2823 |
| 0.2752 | 2.2010 | 13838 | 0.2808 |
| 0.2718 | 2.4011 | 15096 | 0.2829 |
| 0.2731 | 2.6012 | 16354 | 0.2806 |
| 0.2692 | 2.8013 | 17612 | 0.2707 |
| 0.2644 | 3.0014 | 18870 | 0.2728 |
| 0.2543 | 3.2015 | 20128 | 0.2660 |
| 0.2575 | 3.4016 | 21386 | 0.2628 |
| 0.2563 | 3.6017 | 22644 | 0.2645 |
| 0.2522 | 3.8018 | 23902 | 0.2550 |
| 0.2519 | 4.0019 | 25160 | 0.2550 |
| 0.2397 | 4.2020 | 26418 | 0.2544 |
| 0.2419 | 4.4021 | 27676 | 0.2483 |
| 0.2358 | 4.6022 | 28934 | 0.2477 |
| 0.2349 | 4.8023 | 30192 | 0.2466 |
| 0.234 | 5.0024 | 31450 | 0.2442 |
| 0.2212 | 5.2025 | 32708 | 0.2443 |
| 0.2221 | 5.4026 | 33966 | 0.2420 |
| 0.222 | 5.6027 | 35224 | 0.2322 |
| 0.2198 | 5.8028 | 36482 | 0.2319 |
| 0.2193 | 6.0029 | 37740 | 0.2315 |
| 0.2051 | 6.2030 | 38998 | 0.2245 |
| 0.2071 | 6.4031 | 40256 | 0.2249 |
| 0.2039 | 6.6031 | 41514 | 0.2309 |
| 0.2059 | 6.8032 | 42772 | 0.2184 |
| 0.2044 | 7.0033 | 44030 | 0.2175 |
| 0.1878 | 7.2034 | 45288 | 0.2172 |
| 0.1903 | 7.4035 | 46546 | 0.2123 |
| 0.1924 | 7.6036 | 47804 | 0.2105 |
| 0.1886 | 7.8037 | 49062 | 0.2087 |
| 0.1876 | 8.0038 | 50320 | 0.2063 |
| 0.1726 | 8.2039 | 51578 | 0.2109 |
| 0.1756 | 8.4040 | 52836 | 0.2097 |
| 0.1764 | 8.6041 | 54094 | 0.2045 |
| 0.1737 | 8.8042 | 55352 | 0.1993 |
| 0.1702 | 9.0043 | 56610 | 0.2031 |
| 0.1561 | 9.2044 | 57868 | 0.1991 |
| 0.158 | 9.4045 | 59126 | 0.1977 |
| 0.1568 | 9.6046 | 60384 | 0.1983 |
| 0.1583 | 9.8047 | 61642 | 0.1965 |
| 0.1591 | 10.0048 | 62900 | 0.1940 |
| 0.1419 | 10.2049 | 64158 | 0.1956 |
| 0.1434 | 10.4050 | 65416 | 0.1924 |
| 0.1411 | 10.6051 | 66674 | 0.1940 |
| 0.1418 | 10.8052 | 67932 | 0.1929 |
| 0.1393 | 11.0052 | 69190 | 0.1922 |
| 0.1279 | 11.2053 | 70448 | 0.1946 |
| 0.1287 | 11.4054 | 71706 | 0.1953 |
| 0.1274 | 11.6055 | 72964 | 0.1948 |
| 0.1259 | 11.8056 | 74222 | 0.1927 |
### Framework versions
- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0 |