---
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
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# 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: 1.2108

## 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: 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 2.1076        | 0.7722  | 50   | 2.0130          |
| 1.7006        | 1.5444  | 100  | 1.6928          |
| 1.5932        | 2.3166  | 150  | 1.5687          |
| 1.5092        | 3.0888  | 200  | 1.4995          |
| 1.4633        | 3.8610  | 250  | 1.4468          |
| 1.3849        | 4.6332  | 300  | 1.4023          |
| 1.3616        | 5.4054  | 350  | 1.3673          |
| 1.361         | 6.1776  | 400  | 1.3386          |
| 1.3253        | 6.9498  | 450  | 1.3159          |
| 1.3204        | 7.7220  | 500  | 1.2976          |
| 1.1944        | 8.4942  | 550  | 1.2814          |
| 1.2286        | 9.2664  | 600  | 1.2703          |
| 1.3097        | 10.0386 | 650  | 1.2532          |
| 1.263         | 10.8108 | 700  | 1.2466          |
| 1.1474        | 11.5830 | 750  | 1.2374          |
| 1.191         | 12.3552 | 800  | 1.2298          |
| 1.09          | 13.1274 | 850  | 1.2246          |
| 1.1622        | 13.8996 | 900  | 1.2130          |
| 1.1883        | 14.6718 | 950  | 1.2108          |


### Framework versions

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