---
license: other
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: Qwen/Qwen1.5-32B-Chat
model-index:
- name: qwen_30B_brevity_tuned
  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_30B_brevity_tuned

This model is a fine-tuned version of [Qwen/Qwen1.5-32B-Chat](https://huggingface.co/Qwen/Qwen1.5-32B-Chat) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0879

## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 30
- training_steps: 300

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.2559        | 1.0   | 10   | 3.1422          |
| 3.0615        | 2.0   | 20   | 2.8362          |
| 2.6919        | 3.0   | 30   | 2.4366          |
| 2.2914        | 4.0   | 40   | 2.0373          |
| 1.8444        | 5.0   | 50   | 1.5040          |
| 1.2158        | 6.0   | 60   | 0.8004          |
| 0.568         | 7.0   | 70   | 0.3102          |
| 0.2405        | 8.0   | 80   | 0.1604          |
| 0.1385        | 9.0   | 90   | 0.1139          |
| 0.1012        | 10.0  | 100  | 0.0966          |
| 0.0828        | 11.0  | 110  | 0.0920          |
| 0.0742        | 12.0  | 120  | 0.0918          |
| 0.0652        | 13.0  | 130  | 0.0914          |
| 0.0584        | 14.0  | 140  | 0.0906          |
| 0.05          | 15.0  | 150  | 0.0891          |
| 0.0439        | 16.0  | 160  | 0.0885          |
| 0.0368        | 17.0  | 170  | 0.0880          |
| 0.0317        | 18.0  | 180  | 0.0866          |
| 0.0256        | 19.0  | 190  | 0.0857          |
| 0.0213        | 20.0  | 200  | 0.0850          |
| 0.0176        | 21.0  | 210  | 0.0849          |
| 0.0153        | 22.0  | 220  | 0.0850          |
| 0.0136        | 23.0  | 230  | 0.0855          |
| 0.0124        | 24.0  | 240  | 0.0860          |
| 0.0118        | 25.0  | 250  | 0.0866          |
| 0.0113        | 26.0  | 260  | 0.0870          |
| 0.0109        | 27.0  | 270  | 0.0874          |
| 0.0107        | 28.0  | 280  | 0.0878          |
| 0.0103        | 29.0  | 290  | 0.0879          |
| 0.0101        | 30.0  | 300  | 0.0879          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1