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