---
library_name: peft
license: apache-2.0
base_model: unsloth/qwen2.5-coder-32b-instruct-bnb-4bit
tags:
- trl
- sft
- unsloth
- generated_from_trainer
model-index:
- name: Qwen-coder-32B-Instruct_playpen_SFT_DFINAL_1.7K-steps
  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. -->

# Qwen-coder-32B-Instruct_playpen_SFT_DFINAL_1.7K-steps

This model is a fine-tuned version of [unsloth/qwen2.5-coder-32b-instruct-bnb-4bit](https://huggingface.co/unsloth/qwen2.5-coder-32b-instruct-bnb-4bit) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6435

## 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: 4
- eval_batch_size: 4
- seed: 7331
- optimizer: Use adamw_8bit 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: 0.03
- lr_scheduler_warmup_steps: 5
- training_steps: 1700

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.0006        | 0.0565 | 100  | 2.3866          |
| 0.001         | 0.1130 | 200  | 2.3386          |
| 0.0009        | 0.1695 | 300  | 2.4257          |
| 0.0007        | 0.2260 | 400  | 2.4474          |
| 0.001         | 0.2825 | 500  | 2.5487          |
| 0.0008        | 0.3390 | 600  | 2.5405          |
| 0.0009        | 0.3955 | 700  | 2.5610          |
| 0.0017        | 0.4520 | 800  | 2.5255          |
| 0.0008        | 0.5085 | 900  | 2.5441          |
| 0.0007        | 0.5650 | 1000 | 2.6643          |
| 0.0006        | 0.6215 | 1100 | 2.7327          |
| 0.0006        | 0.6780 | 1200 | 2.7778          |
| 0.0008        | 0.7345 | 1300 | 2.6578          |
| 0.0006        | 0.7910 | 1400 | 2.6902          |
| 0.001         | 0.8475 | 1500 | 2.6243          |
| 0.0009        | 0.9040 | 1600 | 2.6423          |
| 0.0008        | 0.9605 | 1700 | 2.6435          |


### Framework versions

- PEFT 0.14.0
- Transformers 4.47.1
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.21.0