MiniCPM-V-2_6_ft_20240908_220534

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: 0.1097

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: 4
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• total_train_batch_size: 16
• total_eval_batch_size: 16
• optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.01
• training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.3731	50	0.1153
No log	0.7463	100	0.1103
0.1504	1.1194	150	0.1150
0.1504	1.4925	200	0.1097

Framework versions

• Transformers 4.40.0
• Pytorch 2.1.2+cu121
• Tokenizers 0.19.1