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MoE_LlaVa_Qwen1.5_0.5bx4Top2_ChartVQA_73 – AI Model by hieptuyet1102 | AlphaNeural AI
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MoE_LlaVa_Qwen1.5_0.5bx4Top2_ChartVQA_73
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peft
pytorch
safetensors
moe_llava_qwen1_5
generated_from_trainer
hieptuyet1102/MoE_LlaVa_Qwen1.5_0.5bx4Top2_Vista_filter_reasoning
adapter
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MoE_LlaVa_Qwen1.5_0.5bx4Top2_ChartVQA_73
This model is a fine-tuned version of
hieptuyet1102/MoE_LlaVa_Qwen1.5_0.5bx4Top2_Vista_filter_reasoning
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: 4
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 8
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: 5.0
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.4.0
Transformers 4.37.0
Pytorch 2.0.1+cu117
Datasets 3.0.0
Tokenizers 0.15.1