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---
base_model: Qwen/Qwen2-VL-2B-Instruct
library_name: peft
license: apache-2.0
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: qwen2-2b-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. -->
# qwen2-2b-instruct-trl-sft-mrg
This model is a fine-tuned version of [Qwen/Qwen2-VL-2B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-2B-Instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2568
## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 3.0236 | 0.4942 | 32 | 2.9521 |
| 2.6642 | 0.9884 | 64 | 2.4341 |
| 2.156 | 1.4846 | 96 | 1.9677 |
| 1.9011 | 1.9788 | 128 | 1.7312 |
| 1.6955 | 2.4749 | 160 | 1.6093 |
| 1.5552 | 2.9691 | 192 | 1.5437 |
| 1.5361 | 3.4653 | 224 | 1.4991 |
| 1.4831 | 3.9595 | 256 | 1.4554 |
| 1.5036 | 4.4556 | 288 | 1.4261 |
| 1.3815 | 4.9498 | 320 | 1.3991 |
| 1.3762 | 5.4459 | 352 | 1.3760 |
| 1.3636 | 5.9402 | 384 | 1.3562 |
| 1.2826 | 6.4363 | 416 | 1.3424 |
| 1.3178 | 6.9305 | 448 | 1.3256 |
| 1.2689 | 7.4266 | 480 | 1.3123 |
| 1.2163 | 7.9208 | 512 | 1.3019 |
| 1.284 | 8.4170 | 544 | 1.2920 |
| 1.3356 | 8.9112 | 576 | 1.2862 |
| 1.2359 | 9.4073 | 608 | 1.2820 |
| 1.2157 | 9.9015 | 640 | 1.2746 |
| 1.1936 | 10.3977 | 672 | 1.2709 |
| 1.3181 | 10.8919 | 704 | 1.2659 |
| 1.2266 | 11.3880 | 736 | 1.2641 |
| 1.213 | 11.8822 | 768 | 1.2605 |
| 1.1997 | 12.3784 | 800 | 1.2603 |
| 1.2584 | 12.8726 | 832 | 1.2577 |
| 1.2547 | 13.3687 | 864 | 1.2576 |
| 1.2544 | 13.8629 | 896 | 1.2574 |
| 1.203 | 14.3591 | 928 | 1.2569 |
| 1.1467 | 14.8533 | 960 | 1.2568 |
### Framework versions
- PEFT 0.11.1
- Transformers 4.46.3
- Pytorch 2.3.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0 |