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navida_sensenova_r2r – AI Model by phamquandung | AlphaNeural AI
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navida_sensenova_r2r
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qwen2_5_vl
image-text-to-text
NaVIDA Training
generated_from_trainer
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navida_sensenova_r2r
This model was trained from scratch on the /mnt/data/vmo-ai-task/dungpq6/navida/navida_train_data_r2r.jsonl 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-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 4
total_train_batch_size: 32
total_eval_batch_size: 16
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
num_epochs: 1.0
Training results
Framework versions
Transformers 5.9.0
Pytorch 2.5.0+cu124
Datasets 4.8.4
Tokenizers 0.22.2
