| --- |
| base_model: openbmb/MiniCPM-V-2_6 |
| library_name: peft |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: miniCPM_finetune_lora_viet_vqa |
| 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. --> |
|
|
| # miniCPM_finetune_lora_viet_vqa |
|
|
| This model is a fine-tuned version of [openbmb/MiniCPM-V-2_6](https://huggingface.co/openbmb/MiniCPM-V-2_6) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.6850 |
|
|
| ## 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: 1e-06 |
| - train_batch_size: 4 |
| - eval_batch_size: 2 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 2 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 16 |
| - total_eval_batch_size: 4 |
| - optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_ratio: 0.01 |
| - num_epochs: 5.0 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 2.1566 | 1.3889 | 100 | 2.0881 | |
| | 1.8447 | 2.7778 | 200 | 1.8452 | |
| | 1.7103 | 4.1667 | 300 | 1.6850 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.12.0 |
| - Transformers 4.40.0 |
| - Pytorch 2.1.2 |
| - Datasets 2.20.0 |
| - Tokenizers 0.19.1 |
