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---
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
should probably proofread and complete it, then remove this comment. -->
# 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 |