---
library_name: peft
license: other
base_model: deepseek-ai/deepseek-coder-1.3b-base
tags:
- generated_from_trainer
model-index:
- name: lemexp-hol-thms-by-file-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-hol-thms-by-file-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: 0.2839

## 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: 16
- eval_batch_size: 16
- 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 |
|:-------------:|:------:|:------:|:---------------:|
| 0.4174        | 0.2000 | 3777   | 0.4078          |
| 0.34          | 0.4000 | 7554   | 0.3589          |
| 0.3104        | 0.6001 | 11331  | 0.3305          |
| 0.2901        | 0.8001 | 15108  | 0.3113          |
| 0.2823        | 1.0001 | 18885  | 0.2998          |
| 0.2591        | 1.2001 | 22662  | 0.2958          |
| 0.2597        | 1.4001 | 26439  | 0.2871          |
| 0.2536        | 1.6002 | 30216  | 0.2895          |
| 0.2353        | 1.8002 | 33993  | 0.2819          |
| 0.2236        | 2.0002 | 37770  | 0.2784          |
| 0.2055        | 2.2002 | 41547  | 0.2898          |
| 0.2129        | 2.4003 | 45324  | 0.2687          |
| 0.2001        | 2.6003 | 49101  | 0.2719          |
| 0.2108        | 2.8003 | 52878  | 0.2714          |
| 0.2023        | 3.0003 | 56655  | 0.2650          |
| 0.1811        | 3.2003 | 60432  | 0.2709          |
| 0.1702        | 3.4004 | 64209  | 0.2655          |
| 0.176         | 3.6004 | 67986  | 0.2665          |
| 0.1702        | 3.8004 | 71763  | 0.2666          |
| 0.1597        | 4.0004 | 75540  | 0.2620          |
| 0.1388        | 4.2004 | 79317  | 0.2704          |
| 0.1452        | 4.4005 | 83094  | 0.2707          |
| 0.146         | 4.6005 | 86871  | 0.2705          |
| 0.1388        | 4.8005 | 90648  | 0.2622          |
| 0.1435        | 5.0005 | 94425  | 0.2649          |
| 0.1295        | 5.2006 | 98202  | 0.2794          |
| 0.1195        | 5.4006 | 101979 | 0.2780          |
| 0.124         | 5.6006 | 105756 | 0.2796          |
| 0.1183        | 5.8006 | 109533 | 0.2839          |


### Framework versions

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