---
library_name: peft
license: other
base_model: deepseek-ai/deepseek-coder-1.3b-base
tags:
- generated_from_trainer
model-index:
- name: lemexp-task4-option1_small-deepseek-coder-1.3b-base-ddp-8lr
  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-task4-option1_small-deepseek-coder-1.3b-base-ddp-8lr

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: 0.0634

## 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 |
|:-------------:|:-------:|:-----:|:---------------:|
| 0.2003        | 0.2001  | 629   | 0.1249          |
| 0.1241        | 0.4001  | 1258  | 0.1045          |
| 0.1127        | 0.6002  | 1887  | 0.1060          |
| 0.1028        | 0.8003  | 2516  | 0.0979          |
| 0.1004        | 1.0003  | 3145  | 0.1018          |
| 0.0966        | 1.2004  | 3774  | 0.0946          |
| 0.0946        | 1.4004  | 4403  | 0.0901          |
| 0.0929        | 1.6005  | 5032  | 0.0855          |
| 0.0924        | 1.8006  | 5661  | 0.0895          |
| 0.0888        | 2.0006  | 6290  | 0.0892          |
| 0.0898        | 2.2007  | 6919  | 0.0878          |
| 0.0869        | 2.4008  | 7548  | 0.0862          |
| 0.0866        | 2.6008  | 8177  | 0.0839          |
| 0.0854        | 2.8009  | 8806  | 0.0835          |
| 0.0854        | 3.0010  | 9435  | 0.0808          |
| 0.0809        | 3.2010  | 10064 | 0.0824          |
| 0.0811        | 3.4011  | 10693 | 0.0800          |
| 0.0799        | 3.6011  | 11322 | 0.0830          |
| 0.0824        | 3.8012  | 11951 | 0.0813          |
| 0.08          | 4.0013  | 12580 | 0.0796          |
| 0.078         | 4.2013  | 13209 | 0.0776          |
| 0.0757        | 4.4014  | 13838 | 0.0733          |
| 0.0771        | 4.6015  | 14467 | 0.0740          |
| 0.0761        | 4.8015  | 15096 | 0.0723          |
| 0.0748        | 5.0016  | 15725 | 0.0774          |
| 0.0756        | 5.2017  | 16354 | 0.0746          |
| 0.0746        | 5.4017  | 16983 | 0.0748          |
| 0.0722        | 5.6018  | 17612 | 0.0728          |
| 0.0731        | 5.8018  | 18241 | 0.0748          |
| 0.072         | 6.0019  | 18870 | 0.0716          |
| 0.071         | 6.2020  | 19499 | 0.0710          |
| 0.0692        | 6.4020  | 20128 | 0.0711          |
| 0.0699        | 6.6021  | 20757 | 0.0699          |
| 0.0689        | 6.8022  | 21386 | 0.0698          |
| 0.0694        | 7.0022  | 22015 | 0.0683          |
| 0.0674        | 7.2023  | 22644 | 0.0695          |
| 0.0666        | 7.4024  | 23273 | 0.0685          |
| 0.0675        | 7.6024  | 23902 | 0.0672          |
| 0.0658        | 7.8025  | 24531 | 0.0672          |
| 0.0658        | 8.0025  | 25160 | 0.0666          |
| 0.0641        | 8.2026  | 25789 | 0.0658          |
| 0.063         | 8.4027  | 26418 | 0.0654          |
| 0.0642        | 8.6027  | 27047 | 0.0655          |
| 0.0633        | 8.8028  | 27676 | 0.0668          |
| 0.0641        | 9.0029  | 28305 | 0.0669          |
| 0.0625        | 9.2029  | 28934 | 0.0661          |
| 0.0615        | 9.4030  | 29563 | 0.0653          |
| 0.0605        | 9.6031  | 30192 | 0.0660          |
| 0.0615        | 9.8031  | 30821 | 0.0648          |
| 0.0613        | 10.0032 | 31450 | 0.0644          |
| 0.0591        | 10.2032 | 32079 | 0.0645          |
| 0.0596        | 10.4033 | 32708 | 0.0638          |
| 0.0593        | 10.6034 | 33337 | 0.0647          |
| 0.0593        | 10.8034 | 33966 | 0.0631          |
| 0.0599        | 11.0035 | 34595 | 0.0634          |
| 0.0584        | 11.2036 | 35224 | 0.0634          |
| 0.0584        | 11.4036 | 35853 | 0.0636          |
| 0.0585        | 11.6037 | 36482 | 0.0635          |
| 0.0574        | 11.8038 | 37111 | 0.0634          |


### Framework versions

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