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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-4lr
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-4lr
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: 0.2117
## 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: 0.0004
- 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 |
|:-------------:|:-------:|:-----:|:---------------:|
| 0.4738 | 0.2001 | 629 | 0.3492 |
| 0.3491 | 0.4001 | 1258 | 0.3134 |
| 0.321 | 0.6002 | 1887 | 0.2880 |
| 0.287 | 0.8003 | 2516 | 0.2711 |
| 0.276 | 1.0003 | 3145 | 0.2664 |
| 0.2593 | 1.2004 | 3774 | 0.2559 |
| 0.251 | 1.4004 | 4403 | 0.2481 |
| 0.2416 | 1.6005 | 5032 | 0.2442 |
| 0.2407 | 1.8006 | 5661 | 0.2368 |
| 0.2331 | 2.0006 | 6290 | 0.2340 |
| 0.2278 | 2.2007 | 6919 | 0.2319 |
| 0.2181 | 2.4008 | 7548 | 0.2328 |
| 0.2146 | 2.6008 | 8177 | 0.2237 |
| 0.2153 | 2.8009 | 8806 | 0.2197 |
| 0.2119 | 3.0010 | 9435 | 0.2208 |
| 0.1936 | 3.2010 | 10064 | 0.2153 |
| 0.1946 | 3.4011 | 10693 | 0.2160 |
| 0.1954 | 3.6011 | 11322 | 0.2106 |
| 0.1942 | 3.8012 | 11951 | 0.2122 |
| 0.1931 | 4.0013 | 12580 | 0.2097 |
| 0.179 | 4.2013 | 13209 | 0.2099 |
| 0.1772 | 4.4014 | 13838 | 0.2088 |
| 0.1807 | 4.6015 | 14467 | 0.2066 |
| 0.1765 | 4.8015 | 15096 | 0.2026 |
| 0.1784 | 5.0016 | 15725 | 0.2022 |
| 0.168 | 5.2017 | 16354 | 0.2046 |
| 0.164 | 5.4017 | 16983 | 0.2010 |
| 0.164 | 5.6018 | 17612 | 0.1976 |
| 0.1637 | 5.8018 | 18241 | 0.2014 |
| 0.1647 | 6.0019 | 18870 | 0.1973 |
| 0.1583 | 6.2020 | 19499 | 0.2000 |
| 0.1498 | 6.4020 | 20128 | 0.1980 |
| 0.1509 | 6.6021 | 20757 | 0.1972 |
| 0.1497 | 6.8022 | 21386 | 0.1975 |
| 0.1527 | 7.0022 | 22015 | 0.1957 |
| 0.1365 | 7.2023 | 22644 | 0.1993 |
| 0.1379 | 7.4024 | 23273 | 0.1952 |
| 0.1398 | 7.6024 | 23902 | 0.1962 |
| 0.1399 | 7.8025 | 24531 | 0.1938 |
| 0.1382 | 8.0025 | 25160 | 0.1973 |
| 0.1274 | 8.2026 | 25789 | 0.2003 |
| 0.1279 | 8.4027 | 26418 | 0.1976 |
| 0.1292 | 8.6027 | 27047 | 0.1949 |
| 0.1272 | 8.8028 | 27676 | 0.1933 |
| 0.1293 | 9.0029 | 28305 | 0.1934 |
| 0.123 | 9.2029 | 28934 | 0.2014 |
| 0.117 | 9.4030 | 29563 | 0.2006 |
| 0.1174 | 9.6031 | 30192 | 0.1991 |
| 0.1185 | 9.8031 | 30821 | 0.1996 |
| 0.1176 | 10.0032 | 31450 | 0.1987 |
| 0.1075 | 10.2032 | 32079 | 0.2035 |
| 0.109 | 10.4033 | 32708 | 0.2077 |
| 0.1081 | 10.6034 | 33337 | 0.2042 |
| 0.1087 | 10.8034 | 33966 | 0.2038 |
| 0.1077 | 11.0035 | 34595 | 0.2064 |
| 0.1027 | 11.2036 | 35224 | 0.2117 |
| 0.1003 | 11.4036 | 35853 | 0.2089 |
| 0.1002 | 11.6037 | 36482 | 0.2108 |
| 0.0994 | 11.8038 | 37111 | 0.2117 |
### Framework versions
- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0 |