MiniCPM-V-2_6_lora_20240916_155621

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: 0.2347

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
0.1221	0.2430	100	0.2809
0.1534	0.4860	200	0.2695
0.1055	0.7290	300	0.2456
0.0828	0.9721	400	0.2336
0.1028	1.2151	500	0.2355
0.0444	1.4581	600	0.2294
0.054	1.7011	700	0.2347

Framework versions

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