---
library_name: peft
license: other
base_model: deepseek-ai/deepseek-coder-7b-instruct
tags:
- generated_from_trainer
model-index:
- name: NLP-larger_lora
  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. -->

# NLP-larger_lora

This model is a fine-tuned version of [deepseek-ai/deepseek-coder-7b-instruct](https://huggingface.co/deepseek-ai/deepseek-coder-7b-instruct) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6344

## 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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 300  | 1.7301          |
| 1.8965        | 2.0   | 600  | 1.6529          |
| 1.8965        | 3.0   | 900  | 1.6344          |


### Framework versions

- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.7.0+cu118
- Datasets 3.6.0
- Tokenizers 0.21.1