---
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_small_nodefs-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_small_nodefs-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: 0.1494

## 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: 12
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step  | Validation Loss |
|:-------------:|:-------:|:-----:|:---------------:|
| 0.4197        | 0.2002  | 721   | 0.2974          |
| 0.3013        | 0.4003  | 1442  | 0.2783          |
| 0.2634        | 0.6005  | 2163  | 0.2627          |
| 0.2598        | 0.8007  | 2884  | 0.2501          |
| 0.2469        | 1.0008  | 3605  | 0.2470          |
| 0.2337        | 1.2010  | 4326  | 0.2299          |
| 0.2303        | 1.4012  | 5047  | 0.2243          |
| 0.2234        | 1.6013  | 5768  | 0.2270          |
| 0.223         | 1.8015  | 6489  | 0.2233          |
| 0.2184        | 2.0017  | 7210  | 0.2106          |
| 0.2094        | 2.2018  | 7931  | 0.2106          |
| 0.2075        | 2.4020  | 8652  | 0.2117          |
| 0.2041        | 2.6022  | 9373  | 0.2049          |
| 0.2031        | 2.8023  | 10094 | 0.2008          |
| 0.2017        | 3.0025  | 10815 | 0.2097          |
| 0.1897        | 3.2027  | 11536 | 0.1956          |
| 0.1892        | 3.4028  | 12257 | 0.1954          |
| 0.1868        | 3.6030  | 12978 | 0.1927          |
| 0.1855        | 3.8032  | 13699 | 0.1917          |
| 0.1862        | 4.0033  | 14420 | 0.1953          |
| 0.1739        | 4.2035  | 15141 | 0.1908          |
| 0.1749        | 4.4037  | 15862 | 0.1839          |
| 0.174         | 4.6038  | 16583 | 0.1812          |
| 0.1752        | 4.8040  | 17304 | 0.1810          |
| 0.1725        | 5.0042  | 18025 | 0.1796          |
| 0.16          | 5.2043  | 18746 | 0.1793          |
| 0.162         | 5.4045  | 19467 | 0.1757          |
| 0.1603        | 5.6047  | 20188 | 0.1768          |
| 0.1607        | 5.8048  | 20909 | 0.1735          |
| 0.1595        | 6.0050  | 21630 | 0.1759          |
| 0.1509        | 6.2052  | 22351 | 0.1730          |
| 0.1486        | 6.4053  | 23072 | 0.1712          |
| 0.149         | 6.6055  | 23793 | 0.1668          |
| 0.148         | 6.8057  | 24514 | 0.1635          |
| 0.1475        | 7.0058  | 25235 | 0.1654          |
| 0.1388        | 7.2060  | 25956 | 0.1637          |
| 0.1372        | 7.4062  | 26677 | 0.1615          |
| 0.136         | 7.6063  | 27398 | 0.1608          |
| 0.1345        | 7.8065  | 28119 | 0.1591          |
| 0.1343        | 8.0067  | 28840 | 0.1575          |
| 0.1215        | 8.2068  | 29561 | 0.1554          |
| 0.1236        | 8.4070  | 30282 | 0.1543          |
| 0.1228        | 8.6072  | 31003 | 0.1560          |
| 0.1244        | 8.8073  | 31724 | 0.1548          |
| 0.1216        | 9.0075  | 32445 | 0.1563          |
| 0.1093        | 9.2077  | 33166 | 0.1540          |
| 0.109         | 9.4078  | 33887 | 0.1517          |
| 0.11          | 9.6080  | 34608 | 0.1506          |
| 0.1097        | 9.8082  | 35329 | 0.1503          |
| 0.1098        | 10.0083 | 36050 | 0.1512          |
| 0.0975        | 10.2085 | 36771 | 0.1527          |
| 0.0966        | 10.4087 | 37492 | 0.1477          |
| 0.0972        | 10.6088 | 38213 | 0.1456          |
| 0.0971        | 10.8090 | 38934 | 0.1446          |
| 0.0956        | 11.0092 | 39655 | 0.1484          |
| 0.0887        | 11.2093 | 40376 | 0.1523          |
| 0.0865        | 11.4095 | 41097 | 0.1496          |
| 0.0874        | 11.6097 | 41818 | 0.1489          |
| 0.0866        | 11.8098 | 42539 | 0.1494          |


### Framework versions

- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0