---
license: other
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: Qwen/Qwen1.5-32B-Chat
model-index:
- name: Qwen_32B_brevity_finetuned
  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_32B_brevity_finetuned

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: 0.4598

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.5689        | 1.0   | 10   | 3.4447          |
| 3.3897        | 2.0   | 20   | 3.1637          |
| 3.0419        | 3.0   | 30   | 2.7805          |
| 2.646         | 4.0   | 40   | 2.3927          |
| 2.2145        | 5.0   | 50   | 1.9464          |
| 1.6159        | 6.0   | 60   | 1.2767          |
| 0.8947        | 7.0   | 70   | 0.7462          |
| 0.5729        | 8.0   | 80   | 0.6091          |
| 0.4858        | 9.0   | 90   | 0.5534          |
| 0.4338        | 10.0  | 100  | 0.5046          |
| 0.3885        | 11.0  | 110  | 0.4680          |
| 0.3457        | 12.0  | 120  | 0.4339          |
| 0.3003        | 13.0  | 130  | 0.4091          |
| 0.2573        | 14.0  | 140  | 0.3947          |
| 0.2167        | 15.0  | 150  | 0.3864          |
| 0.1771        | 16.0  | 160  | 0.3882          |
| 0.1399        | 17.0  | 170  | 0.3901          |
| 0.1083        | 18.0  | 180  | 0.3994          |
| 0.0835        | 19.0  | 190  | 0.4049          |
| 0.0601        | 20.0  | 200  | 0.4176          |
| 0.0483        | 21.0  | 210  | 0.4301          |
| 0.0363        | 22.0  | 220  | 0.4378          |
| 0.0313        | 23.0  | 230  | 0.4436          |
| 0.0278        | 24.0  | 240  | 0.4486          |
| 0.023         | 25.0  | 250  | 0.4504          |
| 0.0205        | 26.0  | 260  | 0.4549          |
| 0.0199        | 27.0  | 270  | 0.4586          |
| 0.0191        | 28.0  | 280  | 0.4584          |
| 0.0183        | 29.0  | 290  | 0.4593          |
| 0.0204        | 30.0  | 300  | 0.4598          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1