---
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_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_nodefs_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: 0.1551

## 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 |
|:-------------:|:-------:|:-----:|:---------------:|
| 0.438         | 0.2002  | 721   | 0.3096          |
| 0.3098        | 0.4003  | 1442  | 0.2840          |
| 0.2714        | 0.6005  | 2163  | 0.2634          |
| 0.2619        | 0.8007  | 2884  | 0.2561          |
| 0.2529        | 1.0008  | 3605  | 0.2385          |
| 0.2363        | 1.2010  | 4326  | 0.2378          |
| 0.2334        | 1.4012  | 5047  | 0.2336          |
| 0.2275        | 1.6013  | 5768  | 0.2318          |
| 0.2263        | 1.8015  | 6489  | 0.2268          |
| 0.223         | 2.0017  | 7210  | 0.2194          |
| 0.2133        | 2.2018  | 7931  | 0.2129          |
| 0.2104        | 2.4020  | 8652  | 0.2150          |
| 0.2073        | 2.6022  | 9373  | 0.2089          |
| 0.206         | 2.8023  | 10094 | 0.2061          |
| 0.2045        | 3.0025  | 10815 | 0.2018          |
| 0.1949        | 3.2027  | 11536 | 0.1990          |
| 0.1919        | 3.4028  | 12257 | 0.2000          |
| 0.1917        | 3.6030  | 12978 | 0.1974          |
| 0.1893        | 3.8032  | 13699 | 0.1960          |
| 0.189         | 4.0033  | 14420 | 0.1947          |
| 0.1783        | 4.2035  | 15141 | 0.1881          |
| 0.1759        | 4.4037  | 15862 | 0.1905          |
| 0.1767        | 4.6038  | 16583 | 0.1871          |
| 0.1761        | 4.8040  | 17304 | 0.1867          |
| 0.1757        | 5.0042  | 18025 | 0.1866          |
| 0.1631        | 5.2043  | 18746 | 0.1840          |
| 0.1642        | 5.4045  | 19467 | 0.1840          |
| 0.1629        | 5.6047  | 20188 | 0.1791          |
| 0.1626        | 5.8048  | 20909 | 0.1781          |
| 0.1621        | 6.0050  | 21630 | 0.1761          |
| 0.1535        | 6.2052  | 22351 | 0.1774          |
| 0.1506        | 6.4053  | 23072 | 0.1769          |
| 0.1507        | 6.6055  | 23793 | 0.1700          |
| 0.1507        | 6.8057  | 24514 | 0.1722          |
| 0.1494        | 7.0058  | 25235 | 0.1688          |
| 0.141         | 7.2060  | 25956 | 0.1671          |
| 0.1404        | 7.4062  | 26677 | 0.1681          |
| 0.1388        | 7.6063  | 27398 | 0.1657          |
| 0.1368        | 7.8065  | 28119 | 0.1629          |
| 0.1365        | 8.0067  | 28840 | 0.1610          |
| 0.1238        | 8.2068  | 29561 | 0.1599          |
| 0.1253        | 8.4070  | 30282 | 0.1577          |
| 0.1253        | 8.6072  | 31003 | 0.1566          |
| 0.127         | 8.8073  | 31724 | 0.1567          |
| 0.124         | 9.0075  | 32445 | 0.1571          |
| 0.1119        | 9.2077  | 33166 | 0.1584          |
| 0.1113        | 9.4078  | 33887 | 0.1570          |
| 0.1125        | 9.6080  | 34608 | 0.1525          |
| 0.1121        | 9.8082  | 35329 | 0.1563          |
| 0.1121        | 10.0083 | 36050 | 0.1559          |
| 0.099         | 10.2085 | 36771 | 0.1581          |
| 0.0986        | 10.4087 | 37492 | 0.1541          |
| 0.0998        | 10.6088 | 38213 | 0.1531          |
| 0.0992        | 10.8090 | 38934 | 0.1530          |
| 0.0981        | 11.0092 | 39655 | 0.1546          |
| 0.0909        | 11.2093 | 40376 | 0.1566          |
| 0.0887        | 11.4095 | 41097 | 0.1568          |
| 0.0895        | 11.6097 | 41818 | 0.1546          |
| 0.0887        | 11.8098 | 42539 | 0.1551          |


### Framework versions

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