---
library_name: peft
license: other
base_model: deepseek-ai/deepseek-coder-1.3b-base
tags:
- generated_from_trainer
model-index:
- name: lemexp-task2-extra_template_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-task2-extra_template_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: 0.2989

## 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 |
|:-------------:|:-------:|:-----:|:---------------:|
| 0.4982        | 0.2001  | 629   | 0.4227          |
| 0.4191        | 0.4001  | 1258  | 0.3834          |
| 0.4007        | 0.6002  | 1887  | 0.3733          |
| 0.3777        | 0.8003  | 2516  | 0.3613          |
| 0.3697        | 1.0003  | 3145  | 0.3592          |
| 0.3564        | 1.2004  | 3774  | 0.3499          |
| 0.3528        | 1.4004  | 4403  | 0.3425          |
| 0.3434        | 1.6005  | 5032  | 0.3429          |
| 0.343         | 1.8006  | 5661  | 0.3396          |
| 0.3359        | 2.0006  | 6290  | 0.3350          |
| 0.3331        | 2.2007  | 6919  | 0.3381          |
| 0.3251        | 2.4008  | 7548  | 0.3295          |
| 0.3219        | 2.6008  | 8177  | 0.3243          |
| 0.3245        | 2.8009  | 8806  | 0.3223          |
| 0.3188        | 3.0010  | 9435  | 0.3201          |
| 0.3026        | 3.2010  | 10064 | 0.3177          |
| 0.3037        | 3.4011  | 10693 | 0.3137          |
| 0.3035        | 3.6011  | 11322 | 0.3118          |
| 0.3035        | 3.8012  | 11951 | 0.3108          |
| 0.303         | 4.0013  | 12580 | 0.3077          |
| 0.2883        | 4.2013  | 13209 | 0.3080          |
| 0.285         | 4.4014  | 13838 | 0.3050          |
| 0.2892        | 4.6015  | 14467 | 0.3043          |
| 0.2843        | 4.8015  | 15096 | 0.3027          |
| 0.2862        | 5.0016  | 15725 | 0.2996          |
| 0.2747        | 5.2017  | 16354 | 0.3004          |
| 0.2707        | 5.4017  | 16983 | 0.2987          |
| 0.2696        | 5.6018  | 17612 | 0.2933          |
| 0.27          | 5.8018  | 18241 | 0.2947          |
| 0.2696        | 6.0019  | 18870 | 0.2924          |
| 0.2637        | 6.2020  | 19499 | 0.2906          |
| 0.2514        | 6.4020  | 20128 | 0.2877          |
| 0.2527        | 6.6021  | 20757 | 0.2886          |
| 0.2508        | 6.8022  | 21386 | 0.2874          |
| 0.2556        | 7.0022  | 22015 | 0.2872          |
| 0.2333        | 7.2023  | 22644 | 0.2865          |
| 0.2346        | 7.4024  | 23273 | 0.2894          |
| 0.2356        | 7.6024  | 23902 | 0.2828          |
| 0.2365        | 7.8025  | 24531 | 0.2835          |
| 0.2333        | 8.0025  | 25160 | 0.2823          |
| 0.2175        | 8.2026  | 25789 | 0.2837          |
| 0.217         | 8.4027  | 26418 | 0.2835          |
| 0.2182        | 8.6027  | 27047 | 0.2822          |
| 0.2167        | 8.8028  | 27676 | 0.2783          |
| 0.2185        | 9.0029  | 28305 | 0.2812          |
| 0.207         | 9.2029  | 28934 | 0.2839          |
| 0.1969        | 9.4030  | 29563 | 0.2846          |
| 0.1983        | 9.6031  | 30192 | 0.2806          |
| 0.1989        | 9.8031  | 30821 | 0.2794          |
| 0.1968        | 10.0032 | 31450 | 0.2855          |
| 0.1769        | 10.2032 | 32079 | 0.2928          |
| 0.179         | 10.4033 | 32708 | 0.2907          |
| 0.1778        | 10.6034 | 33337 | 0.2901          |
| 0.1789        | 10.8034 | 33966 | 0.2888          |
| 0.1767        | 11.0035 | 34595 | 0.2875          |
| 0.1635        | 11.2036 | 35224 | 0.2963          |
| 0.1608        | 11.4036 | 35853 | 0.3001          |
| 0.1603        | 11.6037 | 36482 | 0.3000          |
| 0.1594        | 11.8038 | 37111 | 0.2989          |


### Framework versions

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