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miniCPM_finetune_lora_viet_vqa
This model is a fine-tuned version of 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
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Base model
openbmb/MiniCPM-V-2_6