---
base_model: Qwen/Qwen2-VL-7B-Instruct
library_name: peft
license: apache-2.0
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: qwen2-7b-instruct-trl-sft-mrg
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# qwen2-7b-instruct-trl-sft-mrg

This model is a fine-tuned version of [Qwen/Qwen2-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0746

## 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: 0.0001
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 15

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 2.0164        | 0.4947  | 32   | 1.8794          |
| 1.7004        | 0.9894  | 64   | 1.5669          |
| 1.4913        | 1.4841  | 96   | 1.4239          |
| 1.4568        | 1.9787  | 128  | 1.3451          |
| 1.3309        | 2.4734  | 160  | 1.2841          |
| 1.2276        | 2.9681  | 192  | 1.2427          |
| 1.2531        | 3.4628  | 224  | 1.2152          |
| 1.1983        | 3.9575  | 256  | 1.1806          |
| 1.1846        | 4.4522  | 288  | 1.1549          |
| 1.121         | 4.9469  | 320  | 1.1357          |
| 1.096         | 5.4415  | 352  | 1.1263          |
| 1.0818        | 5.9362  | 384  | 1.1133          |
| 1.0113        | 6.4309  | 416  | 1.1039          |
| 1.0566        | 6.9256  | 448  | 1.0896          |
| 1.0195        | 7.4203  | 480  | 1.0926          |
| 0.9407        | 7.9150  | 512  | 1.0759          |
| 1.0077        | 8.4097  | 544  | 1.0790          |
| 1.0554        | 8.9043  | 576  | 1.0694          |
| 0.9664        | 9.3990  | 608  | 1.0774          |
| 0.9157        | 9.8937  | 640  | 1.0643          |
| 0.8869        | 10.3884 | 672  | 1.0705          |
| 0.9715        | 10.8831 | 704  | 1.0660          |
| 0.8926        | 11.3778 | 736  | 1.0752          |
| 0.8906        | 11.8725 | 768  | 1.0718          |
| 0.8649        | 12.3671 | 800  | 1.0686          |
| 0.9162        | 12.8618 | 832  | 1.0685          |
| 0.8708        | 13.3565 | 864  | 1.0798          |
| 0.9127        | 13.8512 | 896  | 1.0702          |
| 0.8355        | 14.3459 | 928  | 1.0732          |
| 0.806         | 14.8406 | 960  | 1.0746          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.45.2
- Pytorch 2.3.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0