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--- |
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base_model: openbmb/MiniCPM-V-2_6 |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: miniCPM_finetune_lora_viet_vqa |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# miniCPM_finetune_lora_viet_vqa |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6850 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-06 |
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- train_batch_size: 4 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 2 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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- total_eval_batch_size: 4 |
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- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.01 |
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- num_epochs: 5.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 2.1566 | 1.3889 | 100 | 2.0881 | |
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| 1.8447 | 2.7778 | 200 | 1.8452 | |
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| 1.7103 | 4.1667 | 300 | 1.6850 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.40.0 |
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- Pytorch 2.1.2 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
