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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
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
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: 0.2065
## 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: 0.0002
- 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: 6
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 0.5153 | 0.2001 | 629 | 0.3804 |
| 0.3737 | 0.4001 | 1258 | 0.3328 |
| 0.339 | 0.6002 | 1887 | 0.3059 |
| 0.3011 | 0.8003 | 2516 | 0.2860 |
| 0.2889 | 1.0003 | 3145 | 0.2774 |
| 0.2715 | 1.2004 | 3774 | 0.2685 |
| 0.2638 | 1.4004 | 4403 | 0.2573 |
| 0.2513 | 1.6005 | 5032 | 0.2510 |
| 0.2493 | 1.8006 | 5661 | 0.2448 |
| 0.2416 | 2.0006 | 6290 | 0.2400 |
| 0.2359 | 2.2007 | 6919 | 0.2365 |
| 0.2247 | 2.4008 | 7548 | 0.2334 |
| 0.2204 | 2.6008 | 8177 | 0.2292 |
| 0.2208 | 2.8009 | 8806 | 0.2235 |
| 0.2157 | 3.0010 | 9435 | 0.2226 |
| 0.1976 | 3.2010 | 10064 | 0.2208 |
| 0.1991 | 3.4011 | 10693 | 0.2209 |
| 0.1982 | 3.6011 | 11322 | 0.2157 |
| 0.1977 | 3.8012 | 11951 | 0.2140 |
| 0.1949 | 4.0013 | 12580 | 0.2121 |
| 0.1821 | 4.2013 | 13209 | 0.2135 |
| 0.1791 | 4.4014 | 13838 | 0.2106 |
| 0.1829 | 4.6015 | 14467 | 0.2089 |
| 0.177 | 4.8015 | 15096 | 0.2085 |
| 0.1789 | 5.0016 | 15725 | 0.2063 |
| 0.1704 | 5.2017 | 16354 | 0.2083 |
| 0.1667 | 5.4017 | 16983 | 0.2074 |
| 0.1641 | 5.6018 | 17612 | 0.2068 |
| 0.1642 | 5.8018 | 18241 | 0.2065 |
### Framework versions
- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0 |