---
library_name: peft
license: other
base_model: deepseek-ai/deepseek-coder-1.3b-base
tags:
- generated_from_trainer
model-index:
- name: lemexp-afp-small-thms-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-afp-small-thms-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: 0.1166

## 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
- lr_scheduler_warmup_steps: 100
- num_epochs: 6
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 0.4601        | 0.2001 | 2492  | 0.3758          |
| 0.369         | 0.4001 | 4984  | 0.3327          |
| 0.327         | 0.6002 | 7476  | 0.2894          |
| 0.2988        | 0.8003 | 9968  | 0.2848          |
| 0.2873        | 1.0003 | 12460 | 0.2698          |
| 0.2487        | 1.2004 | 14952 | 0.2669          |
| 0.2371        | 1.4004 | 17444 | 0.2430          |
| 0.2324        | 1.6005 | 19936 | 0.2373          |
| 0.2278        | 1.8006 | 22428 | 0.2372          |
| 0.2212        | 2.0006 | 24920 | 0.2190          |
| 0.1991        | 2.2007 | 27412 | 0.2131          |
| 0.1854        | 2.4008 | 29904 | 0.2092          |
| 0.1769        | 2.6008 | 32396 | 0.2034          |
| 0.1818        | 2.8009 | 34888 | 0.1904          |
| 0.1798        | 3.0010 | 37380 | 0.1980          |
| 0.1656        | 3.2010 | 39872 | 0.1820          |
| 0.1533        | 3.4011 | 42364 | 0.1724          |
| 0.1557        | 3.6012 | 44856 | 0.1687          |
| 0.1536        | 3.8012 | 47348 | 0.1721          |
| 0.1531        | 4.0013 | 49840 | 0.1634          |
| 0.1256        | 4.2013 | 52332 | 0.1529          |
| 0.1274        | 4.4014 | 54824 | 0.1471          |
| 0.1294        | 4.6015 | 57316 | 0.1433          |
| 0.1209        | 4.8015 | 59808 | 0.1375          |
| 0.1298        | 5.0016 | 62300 | 0.1308          |
| 0.1064        | 5.2017 | 64792 | 0.1269          |
| 0.1063        | 5.4017 | 67284 | 0.1262          |
| 0.1036        | 5.6018 | 69776 | 0.1213          |
| 0.1084        | 5.8019 | 72268 | 0.1166          |


### Framework versions

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