---
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: 1599

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.1783        | 0.0625 | 100  | 2.1005          |
| 1.8424        | 0.1251 | 200  | 1.8531          |
| 1.7342        | 0.1876 | 300  | 1.7347          |
| 1.6314        | 0.2502 | 400  | 1.6523          |
| 1.5815        | 0.3127 | 500  | 1.5977          |
| 1.5495        | 0.3752 | 600  | 1.5601          |
| 1.5015        | 0.4378 | 700  | 1.5319          |
| 1.4848        | 0.5003 | 800  | 1.5099          |
| 1.4606        | 0.5629 | 900  | 1.4929          |
| 1.4478        | 0.6254 | 1000 | 1.4813          |
| 1.4428        | 0.6879 | 1100 | 1.4717          |
| 1.4248        | 0.7505 | 1200 | 1.4657          |
| 1.4218        | 0.8130 | 1300 | 1.4614          |
| 1.418         | 0.8755 | 1400 | 1.4588          |
| 1.4238        | 0.9381 | 1500 | 1.4578          |


### Framework versions

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