*On two 8-card P40 graphics cards, the final time consumption and speedup ratio for public recognition dataset (LSVT, RCTW, MTWI) containing 260k images are as follows.
*We conducted model training on 2x8 P40 GPUs. Accuracy, training time, and multi machine acceleration ratio of different models are shown below.
| Model | Configuration | Configuration | 8 GPU training time / Accuracy | 3x8 GPU training time / Accuracy | Acceleration ratio |
| Model | Config file | Recognition acc | single 8-card training time | two 8-card training time | Speedup ratio |
> Note: when training with 3x8 GPUs, the single card batch size is unchanged compared with the 1x8 GPUs' training process, and the learning rate is multiplied by 2 (if it is multiplied by 3 by default, the accuracy is only 73.42%).
* We conducted model training on 4x8 V100 GPUs. Accuracy, training time, and multi machine acceleration ratio of different models are shown below.
| Model | Configuration | Configuration | 8 GPU training time / Accuracy | 4x8 GPU training time / Accuracy | Acceleration ratio |
