t5-efficient-small-nl24
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t5-efficient-small-nl32
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View details ↗t5-efficient-small-nl36
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View details ↗t5-efficient-small-nl40
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View details ↗t5-efficient-small-nl8
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View details ↗t5-efficient-tiny
GoogleT5-Efficient-TINY is a variation of Google's original T5 following the T5 model architecture. It is a *pretrained-only* checkpoint and was released with the paper **Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers** by *Yi Tay, Mostafa Dehghani, Jinfeng Rao, William Fedus, Samira Abnar, Hyung Won Chung, Sharan Narang, Dani Yogatama, Ashish Vaswani, Donald Metzler*. In a nutshell, the paper indicates that a **Deep-Narrow** model architecture is favorable for **downstream** performance compared to other model architectures of similar parameter count. > We generally recommend a DeepNarrow strategy where the model’s depth is preferentially increased > before considering any other forms of uniform scaling across other dimensions. This is largely due to > how much depth influences the Pareto-frontier as shown in earlier sections of the paper. Specifically, a > tall small (deep and narrow) model is generally more efficient compared to the base model. Likewise, > a tall base model might also generally more efficient compared to a large model. We generally find > that, regardless of size, even if absolute performance might increase as we continue to stack layers, > the relative gain of Pareto-efficiency diminishes as we increase the layers, converging at 32 to 36 > layers. Finally, we note that our notion of efficiency here relates to any one compute dimension, i.e., > params, FLOPs or throughput (speed). We report all three key efficiency metrics (number of params, > FLOPS and speed) and leave this decision to the practitioner to decide which compute dimension to > consider.
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View details ↗t5-efficient-tiny-dl2
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View details ↗t5-efficient-tiny-dl6
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View details ↗t5-efficient-tiny-dl8
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View details ↗t5-efficient-tiny-el12
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View details ↗t5-efficient-tiny-el2
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View details ↗t5-efficient-tiny-el6
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View details ↗t5-efficient-tiny-el8
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View details ↗t5-efficient-tiny-ff2000
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View details ↗t5-efficient-tiny-ff3000
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View details ↗t5-efficient-tiny-ff6000
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View details ↗t5-efficient-tiny-ff9000
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View details ↗t5-efficient-tiny-nh1
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View details ↗t5-efficient-tiny-nh32
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View details ↗t5-efficient-tiny-nh8
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