---
library_name: peft
license: apache-2.0
base_model: Qwen/Qwen2.5-Coder-1.5B-Instruct
tags:
- generated_from_trainer
model-index:
- name: Qwen2.5-Coder-1.5B-Instruct-Airscript
  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. -->

# Qwen2.5-Coder-1.5B-Instruct-Airscript

This model is a fine-tuned version of [Qwen/Qwen2.5-Coder-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B-Instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4578

## 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: 0.0005
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 30
- training_steps: 1600

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.1783        | 0.0625 | 100  | 2.1006          |
| 1.8426        | 0.125  | 200  | 1.8535          |
| 1.7343        | 0.1875 | 300  | 1.7350          |
| 1.6313        | 0.25   | 400  | 1.6520          |
| 1.5817        | 0.3125 | 500  | 1.5982          |
| 1.5498        | 0.375  | 600  | 1.5604          |
| 1.5019        | 0.4375 | 700  | 1.5322          |
| 1.4852        | 0.5    | 800  | 1.5103          |
| 1.461         | 0.5625 | 900  | 1.4939          |
| 1.4483        | 0.625  | 1000 | 1.4820          |
| 1.4434        | 0.6875 | 1100 | 1.4723          |
| 1.4254        | 0.75   | 1200 | 1.4659          |
| 1.4224        | 0.8125 | 1300 | 1.4619          |
| 1.4188        | 0.875  | 1400 | 1.4596          |
| 1.4245        | 0.9375 | 1500 | 1.4585          |
| 1.4172        | 1.0    | 1600 | 1.4578          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.45.2
- Pytorch 2.5.0
- Datasets 3.0.1
- Tokenizers 0.20.1