qwen2_vl-72b_full-sft_m3cot+llava-reasoner
This model is a fine-tuned version of /mnt/zhangh/sicong/vl3_data/checkpoints/Qwen/Qwen2-VL-72B-Instruct on the m3cot+llava-reasoner 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 32
- total_train_batch_size: 128
- total_eval_batch_size: 256
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.0
Training results
Framework versions
- Transformers 4.46.0
- Pytorch 2.0.1+cu118
- Datasets 2.21.0
- Tokenizers 0.20.3
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