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

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: 0.1978

## 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: 0.001
- 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: 6
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 0.3666        | 0.2000 | 2907  | 0.3499          |
| 0.3395        | 0.4001 | 5814  | 0.3318          |
| 0.3267        | 0.6001 | 8721  | 0.3205          |
| 0.3174        | 0.8001 | 11628 | 0.3100          |
| 0.305         | 1.0001 | 14535 | 0.3098          |
| 0.3004        | 1.2002 | 17442 | 0.2988          |
| 0.3017        | 1.4002 | 20349 | 0.2947          |
| 0.2912        | 1.6002 | 23256 | 0.2879          |
| 0.2843        | 1.8002 | 26163 | 0.2795          |
| 0.2793        | 2.0003 | 29070 | 0.2770          |
| 0.27          | 2.2003 | 31977 | 0.2737          |
| 0.2697        | 2.4003 | 34884 | 0.2725          |
| 0.2641        | 2.6004 | 37791 | 0.2652          |
| 0.2586        | 2.8004 | 40698 | 0.2608          |
| 0.2564        | 3.0004 | 43605 | 0.2545          |
| 0.2464        | 3.2004 | 46512 | 0.2516          |
| 0.2428        | 3.4005 | 49419 | 0.2442          |
| 0.2395        | 3.6005 | 52326 | 0.2403          |
| 0.234         | 3.8005 | 55233 | 0.2367          |
| 0.2299        | 4.0006 | 58140 | 0.2311          |
| 0.2178        | 4.2006 | 61047 | 0.2271          |
| 0.2163        | 4.4006 | 63954 | 0.2227          |
| 0.2114        | 4.6006 | 66861 | 0.2175          |
| 0.2083        | 4.8007 | 69768 | 0.2150          |
| 0.2026        | 5.0007 | 72675 | 0.2100          |
| 0.1907        | 5.2007 | 75582 | 0.2065          |
| 0.1893        | 5.4007 | 78489 | 0.2020          |
| 0.1874        | 5.6008 | 81396 | 0.1982          |
| 0.1812        | 5.8008 | 84303 | 0.1978          |


### Framework versions

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