baohuynhbk14/miniCPM_finetune_lora_viet_vqa
024
<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
miniCPMfinetuneloravietvqa
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
- trainbatchsize: 4
- evalbatchsize: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradientaccumulationsteps: 2
- totaltrainbatch_size: 16
- totalevalbatch_size: 4
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
- lrschedulertype: cosine
- lrschedulerwarmup_ratio: 0.01
- num_epochs: 5.0
Training results
Framework versions
- PEFT 0.12.0
- Transformers 4.40.0
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1