mllava_50k_5e_5_decay_8192
This model is a fine-tuned version of TIGER-Lab/Mantis-8B-siglip-llama3-pretraind on an unknown dataset.
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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 16
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 10.0
Training results
Framework versions
- Transformers 4.43.3
- Pytorch 2.4.0+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1
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Model tree for zixianma/mllava_50k_5e_5_decay_8192
Base model
TIGER-Lab/Mantis-8B-siglip-llama3-pretraind