metadata
library_name: peft
license: apache-2.0
base_model: Qwen/Qwen2-VL-7B-Instruct
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: vl_finetuned_model
results: []
vl_finetuned_model
This model is a fine-tuned version of Qwen/Qwen2-VL-7B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5420
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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7138 | 1.6 | 100 | 0.7499 |
| 0.5414 | 3.2 | 200 | 0.5696 |
| 0.4876 | 4.8 | 300 | 0.5466 |
| 0.5278 | 6.4 | 400 | 0.5430 |
| 0.4783 | 8.0 | 500 | 0.5420 |
Framework versions
- PEFT 0.13.0
- Transformers 4.45.1
- Pytorch 2.4.0+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0