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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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