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MoE_LlaVa_Qwen1.5_0.5bx4Top2_SigLIP
Nhanvi282/MoE_LlaVa_Qwen1.5_0.5bx4Top2_SigLIP
MoE_LlaVa_Qwen1.5_0.5bx4Top2_SigLIP is a machine learning model from Nhanvi282. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- moe_llava_qwen2
- Access
- Public
- Created
- Nov 23, 2024
- Updated
- Dec 4, 2024
- SHA
- 66a60347
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
MoE_LlaVa_Qwen1.5_0.5bx4Top2_SigLIP
This model is a fine-tuned version of Nhanvi282/MoE_LlaVa_Qwen1.5_0.5bx4Top2_SigLIP_ver2 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: 2e-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 4.0
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.37.0
- Pytorch 2.0.1+cu117
- Datasets 3.0.1
- Tokenizers 0.15.1
- Type
- moe_llava_qwen2
- Created
- Nov 23, 2024
- Updated
- Dec 4, 2024