navida_qwen3_vl_4b_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
