---
base_model: deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct
library_name: peft
license: other
tags:
- generated_from_trainer
model-index:
- name: deepseek_coder_v2
  results: []
---

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should probably proofread and complete it, then remove this comment. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/stanford_johnny/filtering_finetuning/runs/bxhqbdle)
# deepseek_coder_v2

This model is a fine-tuned version of [deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct](https://huggingface.co/deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1922

## 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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.4005        | 0.1613 | 5    | 0.3098          |
| 0.2848        | 0.3226 | 10   | 0.2342          |
| 0.2249        | 0.4839 | 15   | 0.2092          |
| 0.2221        | 0.6452 | 20   | 0.2001          |
| 0.2141        | 0.8065 | 25   | 0.1949          |
| 0.2094        | 0.9677 | 30   | 0.1922          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.42.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1