---
library_name: peft
license: other
base_model: deepseek-ai/deepseek-coder-1.3b-base
tags:
- generated_from_trainer
model-index:
- name: lemexp-task1-more_symbols_template_small-deepseek-coder-1.3b-base
  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-more_symbols_template_small-deepseek-coder-1.3b-base

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: 0.1504

## 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: 4
- eval_batch_size: 4
- 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: 6
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 0.3464        | 0.2000 | 2515  | 0.3264          |
| 0.2953        | 0.4001 | 5030  | 0.2775          |
| 0.2629        | 0.6001 | 7545  | 0.2489          |
| 0.2453        | 0.8001 | 10060 | 0.2290          |
| 0.2283        | 1.0002 | 12575 | 0.2216          |
| 0.2102        | 1.2002 | 15090 | 0.2148          |
| 0.2057        | 1.4002 | 17605 | 0.2071          |
| 0.1965        | 1.6003 | 20120 | 0.1968          |
| 0.185         | 1.8003 | 22635 | 0.1940          |
| 0.1894        | 2.0003 | 25150 | 0.1880          |
| 0.159         | 2.2003 | 27665 | 0.1870          |
| 0.1583        | 2.4004 | 30180 | 0.1786          |
| 0.1592        | 2.6004 | 32695 | 0.1774          |
| 0.1609        | 2.8004 | 35210 | 0.1720          |
| 0.1571        | 3.0005 | 37725 | 0.1670          |
| 0.1301        | 3.2005 | 40240 | 0.1694          |
| 0.1362        | 3.4005 | 42755 | 0.1690          |
| 0.1384        | 3.6006 | 45270 | 0.1595          |
| 0.1296        | 3.8006 | 47785 | 0.1582          |
| 0.1332        | 4.0006 | 50300 | 0.1557          |
| 0.1122        | 4.2007 | 52815 | 0.1581          |
| 0.1116        | 4.4007 | 55330 | 0.1538          |
| 0.1093        | 4.6007 | 57845 | 0.1525          |
| 0.1082        | 4.8008 | 60360 | 0.1534          |
| 0.1056        | 5.0008 | 62875 | 0.1500          |
| 0.0904        | 5.2008 | 65390 | 0.1529          |
| 0.0901        | 5.4009 | 67905 | 0.1516          |
| 0.0893        | 5.6009 | 70420 | 0.1489          |
| 0.0928        | 5.8009 | 72935 | 0.1504          |


### Framework versions

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