---
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_old_defs-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_old_defs-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: 0.1547

## 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 |
|:-------------:|:-------:|:-----:|:---------------:|
| 0.4292        | 0.2002  | 721   | 0.3077          |
| 0.3079        | 0.4003  | 1442  | 0.2790          |
| 0.269         | 0.6005  | 2163  | 0.2551          |
| 0.2612        | 0.8007  | 2884  | 0.2621          |
| 0.2497        | 1.0008  | 3605  | 0.2418          |
| 0.2361        | 1.2010  | 4326  | 0.2328          |
| 0.2348        | 1.4012  | 5047  | 0.2309          |
| 0.2266        | 1.6013  | 5768  | 0.2232          |
| 0.2269        | 1.8015  | 6489  | 0.2266          |
| 0.2223        | 2.0017  | 7210  | 0.2175          |
| 0.213         | 2.2018  | 7931  | 0.2132          |
| 0.2106        | 2.4020  | 8652  | 0.2099          |
| 0.2066        | 2.6022  | 9373  | 0.2076          |
| 0.2066        | 2.8023  | 10094 | 0.2104          |
| 0.2037        | 3.0025  | 10815 | 0.1996          |
| 0.1934        | 3.2027  | 11536 | 0.1989          |
| 0.1925        | 3.4028  | 12257 | 0.1944          |
| 0.1907        | 3.6030  | 12978 | 0.1925          |
| 0.1892        | 3.8032  | 13699 | 0.1992          |
| 0.1889        | 4.0033  | 14420 | 0.1979          |
| 0.1773        | 4.2035  | 15141 | 0.1879          |
| 0.1763        | 4.4037  | 15862 | 0.1904          |
| 0.1772        | 4.6038  | 16583 | 0.1902          |
| 0.1772        | 4.8040  | 17304 | 0.1850          |
| 0.1753        | 5.0042  | 18025 | 0.1849          |
| 0.1632        | 5.2043  | 18746 | 0.1833          |
| 0.1643        | 5.4045  | 19467 | 0.1788          |
| 0.1627        | 5.6047  | 20188 | 0.1841          |
| 0.1635        | 5.8048  | 20909 | 0.1780          |
| 0.163         | 6.0050  | 21630 | 0.1774          |
| 0.1536        | 6.2052  | 22351 | 0.1745          |
| 0.1519        | 6.4053  | 23072 | 0.1731          |
| 0.1502        | 6.6055  | 23793 | 0.1710          |
| 0.1512        | 6.8057  | 24514 | 0.1705          |
| 0.1501        | 7.0058  | 25235 | 0.1696          |
| 0.1419        | 7.2060  | 25956 | 0.1694          |
| 0.1398        | 7.4062  | 26677 | 0.1660          |
| 0.1394        | 7.6063  | 27398 | 0.1697          |
| 0.1379        | 7.8065  | 28119 | 0.1644          |
| 0.1379        | 8.0067  | 28840 | 0.1654          |
| 0.125         | 8.2068  | 29561 | 0.1608          |
| 0.1261        | 8.4070  | 30282 | 0.1613          |
| 0.1257        | 8.6072  | 31003 | 0.1583          |
| 0.1265        | 8.8073  | 31724 | 0.1581          |
| 0.1251        | 9.0075  | 32445 | 0.1584          |
| 0.1126        | 9.2077  | 33166 | 0.1593          |
| 0.1117        | 9.4078  | 33887 | 0.1567          |
| 0.1125        | 9.6080  | 34608 | 0.1554          |
| 0.1125        | 9.8082  | 35329 | 0.1526          |
| 0.113         | 10.0083 | 36050 | 0.1564          |
| 0.1004        | 10.2085 | 36771 | 0.1621          |
| 0.0992        | 10.4087 | 37492 | 0.1540          |
| 0.0995        | 10.6088 | 38213 | 0.1533          |
| 0.0996        | 10.8090 | 38934 | 0.1531          |
| 0.0986        | 11.0092 | 39655 | 0.1545          |
| 0.0921        | 11.2093 | 40376 | 0.1575          |
| 0.089         | 11.4095 | 41097 | 0.1569          |
| 0.0894        | 11.6097 | 41818 | 0.1566          |
| 0.0893        | 11.8098 | 42539 | 0.1547          |


### Framework versions

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