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datasets: |
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- bigscience/P3 |
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language: |
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- en |
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An 11B T5 model trained on the [P3](https://huggingface.co/datasets/bigscience/P3) (T0 split) dataset for 20,000 steps with a batch size of 2048 a maximum input sequence length of 1024, a maximum output sequence length of 256, and the Adafactor optimizer with a constant learning rate of 0.001. |
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The model is trained from the [T5 v1.1 lm-adapt checkpoint](https://huggingface.co/google/t5-xxl-lm-adapt) and fully finetuned. |
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For more details, see [HINT: Hypernetwork Instruction Tuning for Efficient Zero- & Few-Shot Generalisation](https://arxiv.org/abs/2212.10315). |
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Performance on T0 held-out tasks (average accuracy across prompts using rank classification): |
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| Model | ANLI (avg) | HellaSwag | StoryCloze | CB | COPA | RTE | WiC | WSC | WinoGrande | Average | |
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|--|--|--|--|--|--|--|--|--|--|--| |
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| [T0-11B](https://huggingface.co/bigscience/T0) | 41.0 | 33.6 | 92.4 | 70.1 | 91.5 | 81.0 | 56.1 | 61.1 | 59.9 | 65.2 | |
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| hypertask_T0_11B (this model) | 46.8 | 34.1 | 98.2 | 81.2 | 96.6 | 84.0 | 52.1 | 62.6 | 64.8 | 68.9 | |
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