---
library_name: peft
license: other
base_model: deepseek-ai/deepseek-coder-1.3b-instruct
tags:
- base_model:adapter:deepseek-ai/deepseek-coder-1.3b-instruct
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: TrainingArguments_output
  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. -->

# TrainingArguments_output

This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-instruct](https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-instruct) on an unknown dataset.

## 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: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 3

### Framework versions

- PEFT 0.18.0
- Transformers 4.57.2
- Pytorch 2.9.1+cu128
- Datasets 4.3.0
- Tokenizers 0.22.1