MoE_LlaVa_Qwen1.5_0.5bx4Top2_ChartVQA
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
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