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---
library_name: peft
license: other
base_model: deepseek-ai/deepseek-coder-1.3b-base
tags:
- generated_from_trainer
model-index:
- name: lemexp-task2-extra_lemma_object_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_lemma_object_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: 0.3847

## 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 |
|:-------------:|:-------:|:-----:|:---------------:|
| 0.6985        | 0.2001  | 629   | 0.5692          |
| 0.581         | 0.4001  | 1258  | 0.5211          |
| 0.5482        | 0.6002  | 1887  | 0.5006          |
| 0.5121        | 0.8003  | 2516  | 0.4806          |
| 0.4996        | 1.0003  | 3145  | 0.4736          |
| 0.4668        | 1.2004  | 3774  | 0.4573          |
| 0.4596        | 1.4004  | 4403  | 0.4570          |
| 0.4503        | 1.6005  | 5032  | 0.4477          |
| 0.4505        | 1.8006  | 5661  | 0.4431          |
| 0.442         | 2.0006  | 6290  | 0.4371          |
| 0.4292        | 2.2007  | 6919  | 0.4359          |
| 0.415         | 2.4008  | 7548  | 0.4277          |
| 0.4135        | 2.6008  | 8177  | 0.4249          |
| 0.4175        | 2.8009  | 8806  | 0.4213          |
| 0.4117        | 3.0010  | 9435  | 0.4193          |
| 0.379         | 3.2010  | 10064 | 0.4156          |
| 0.3863        | 3.4011  | 10693 | 0.4139          |
| 0.3827        | 3.6011  | 11322 | 0.4101          |
| 0.3825        | 3.8012  | 11951 | 0.4099          |
| 0.3837        | 4.0013  | 12580 | 0.4034          |
| 0.3579        | 4.2013  | 13209 | 0.4068          |
| 0.3555        | 4.4014  | 13838 | 0.4005          |
| 0.3614        | 4.6015  | 14467 | 0.3976          |
| 0.3558        | 4.8015  | 15096 | 0.3933          |
| 0.3576        | 5.0016  | 15725 | 0.3948          |
| 0.339         | 5.2017  | 16354 | 0.3958          |
| 0.3292        | 5.4017  | 16983 | 0.3882          |
| 0.3297        | 5.6018  | 17612 | 0.3872          |
| 0.3344        | 5.8018  | 18241 | 0.3839          |
| 0.3339        | 6.0019  | 18870 | 0.3763          |
| 0.322         | 6.2020  | 19499 | 0.3820          |
| 0.3052        | 6.4020  | 20128 | 0.3774          |
| 0.3088        | 6.6021  | 20757 | 0.3773          |
| 0.3055        | 6.8022  | 21386 | 0.3782          |
| 0.3145        | 7.0022  | 22015 | 0.3742          |
| 0.2756        | 7.2023  | 22644 | 0.3828          |
| 0.2779        | 7.4024  | 23273 | 0.3752          |
| 0.2831        | 7.6024  | 23902 | 0.3739          |
| 0.2853        | 7.8025  | 24531 | 0.3689          |
| 0.2831        | 8.0025  | 25160 | 0.3750          |
| 0.2585        | 8.2026  | 25789 | 0.3761          |
| 0.2541        | 8.4027  | 26418 | 0.3769          |
| 0.2611        | 8.6027  | 27047 | 0.3745          |
| 0.2592        | 8.8028  | 27676 | 0.3671          |
| 0.2625        | 9.0029  | 28305 | 0.3658          |
| 0.2464        | 9.2029  | 28934 | 0.3715          |
| 0.2329        | 9.4030  | 29563 | 0.3718          |
| 0.2333        | 9.6031  | 30192 | 0.3729          |
| 0.2332        | 9.8031  | 30821 | 0.3730          |
| 0.2353        | 10.0032 | 31450 | 0.3751          |
| 0.2045        | 10.2032 | 32079 | 0.3849          |
| 0.2089        | 10.4033 | 32708 | 0.3802          |
| 0.2096        | 10.6034 | 33337 | 0.3781          |
| 0.2094        | 10.8034 | 33966 | 0.3745          |
| 0.2091        | 11.0035 | 34595 | 0.3790          |
| 0.191         | 11.2036 | 35224 | 0.3898          |
| 0.1877        | 11.4036 | 35853 | 0.3863          |
| 0.188         | 11.6037 | 36482 | 0.3886          |
| 0.1876        | 11.8038 | 37111 | 0.3847          |


### Framework versions

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