MiniCPM-V-2_6_lora_20240917_011727

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: 1.3224

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: 5e-05
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• total_eval_batch_size: 8
• optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
• lr_scheduler_type: cosine_with_restarts
• lr_scheduler_warmup_ratio: 0.05
• training_steps: 1000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.3412	0.0349	100	1.3380
1.3477	0.0698	200	1.3300
1.3057	0.1047	300	1.3255
1.3116	0.1396	400	1.3224

Framework versions

• PEFT 0.12.0
• Transformers 4.40.0
• Pytorch 2.1.2+cu121
• Tokenizers 0.19.1