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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-v2-template_full-deepseek-coder-1.3b-base-ddp-8lr-v2
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-v2-template_full-deepseek-coder-1.3b-base-ddp-8lr-v2
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: 0.1529
## 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: 6
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.2779 | 0.2 | 3094 | 0.2787 |
| 0.2568 | 0.4 | 6188 | 0.2658 |
| 0.2493 | 0.6 | 9282 | 0.2520 |
| 0.2413 | 0.8 | 12376 | 0.2400 |
| 0.2362 | 1.0 | 15470 | 0.2373 |
| 0.2298 | 1.2 | 18564 | 0.2296 |
| 0.2272 | 1.4 | 21658 | 0.2256 |
| 0.2194 | 1.6 | 24752 | 0.2186 |
| 0.2189 | 1.8 | 27846 | 0.2178 |
| 0.212 | 2.0 | 30940 | 0.2128 |
| 0.206 | 2.2 | 34034 | 0.2165 |
| 0.2037 | 2.4 | 37128 | 0.2034 |
| 0.199 | 2.6 | 40222 | 0.2056 |
| 0.1963 | 2.8 | 43316 | 0.2008 |
| 0.1942 | 3.0 | 46410 | 0.1971 |
| 0.1858 | 3.2 | 49504 | 0.1919 |
| 0.1851 | 3.4 | 52598 | 0.1906 |
| 0.1791 | 3.6 | 55692 | 0.1837 |
| 0.1776 | 3.8 | 58786 | 0.1813 |
| 0.1758 | 4.0 | 61880 | 0.1761 |
| 0.166 | 4.2 | 64974 | 0.1732 |
| 0.1633 | 4.4 | 68068 | 0.1701 |
| 0.1593 | 4.6 | 71162 | 0.1687 |
| 0.1541 | 4.8 | 74256 | 0.1683 |
| 0.1525 | 5.0 | 77350 | 0.1623 |
| 0.1445 | 5.2 | 80444 | 0.1623 |
| 0.143 | 5.4 | 83538 | 0.1601 |
| 0.1409 | 5.6 | 86632 | 0.1567 |
| 0.1386 | 5.8 | 89726 | 0.1537 |
| 0.1358 | 6.0 | 92820 | 0.1529 |
### Framework versions
- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0 |