---
library_name: peft
license: other
base_model: deepseek-ai/deepseek-coder-1.3b-base
tags:
- generated_from_trainer
model-index:
- name: lemexp-processed-task1_min_symbols_template_small-deepseek-coder-1.3b-base-test
  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-processed-task1_min_symbols_template_small-deepseek-coder-1.3b-base-test

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: 0.1481

## 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: 0.0002
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- 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: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 0.3008        | 0.2000 | 5030  | 0.2892          |
| 0.2627        | 0.4001 | 10060 | 0.2511          |
| 0.2327        | 0.6001 | 15090 | 0.2334          |
| 0.2229        | 0.8001 | 20120 | 0.2116          |
| 0.2074        | 1.0002 | 25150 | 0.2014          |
| 0.1832        | 1.2002 | 30180 | 0.1921          |
| 0.1709        | 1.4002 | 35210 | 0.1860          |
| 0.1692        | 1.6003 | 40240 | 0.1758          |
| 0.1559        | 1.8003 | 45270 | 0.1679          |
| 0.1624        | 2.0003 | 50300 | 0.1645          |
| 0.1233        | 2.2003 | 55330 | 0.1600          |
| 0.1206        | 2.4004 | 60360 | 0.1539          |
| 0.1296        | 2.6004 | 65390 | 0.1516          |
| 0.1277        | 2.8004 | 70420 | 0.1481          |


### Framework versions

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