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shumingma 2022-11-23 20:25:12 -08:00
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README.md
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@ -93,7 +93,7 @@ We plan to provide more examples regarding different tasks (e.g. vision pretrain
### Stability Evaluation ### Stability Evaluation
<p align="center"> <p align="center">
<img src="./assets/convergence.png" width="800"/> <img src="https://publicmodel.blob.core.windows.net/torchscale/pic/convergence.png" width="800"/>
</p> </p>
The training curve is smooth by using TorchScale, while the baseline Transformer cannot converge. The training curve is smooth by using TorchScale, while the baseline Transformer cannot converge.
@ -101,7 +101,7 @@ The training curve is smooth by using TorchScale, while the baseline Transformer
### Scaling-up Experiments ### Scaling-up Experiments
<p align="center"> <p align="center">
<img src="./assets/scaling_curve.png" width="800"/> <img src="https://publicmodel.blob.core.windows.net/torchscale/pic/scaling_curve.png" width="800"/>
</p> </p>
TorchScale supports arbitrary depths and widths, successfully scaling-up the models without pain. TorchScale supports arbitrary depths and widths, successfully scaling-up the models without pain.