Qwen2-VL-72B-sft-5
This model is a fine-tuned version of /inspire/hdd/ws-c6f77a66-a5f5-45dc-a4ce-1e856fe7a7b4/project/public/model/llms/Qwen2-VL-72B-Instruct on the os_agent 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: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 32
- total_train_batch_size: 32
- total_eval_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 2
Training results
Framework versions
- Transformers 4.45.0
- Pytorch 2.5.0+cu124
- Datasets 2.21.0
- Tokenizers 0.20.1
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