MiniCPM-V-2_6_ft_upsampled_3686400_pixels

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: 0.0989

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	0.1761	50	0.1100
No log	0.3521	100	0.1018
No log	0.5282	150	0.0994
No log	0.7042	200	0.0989

Framework versions

• Transformers 4.40.0
• Pytorch 2.1.2+cu121
• Tokenizers 0.19.1