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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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A 3B 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-xl-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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| [T0-3B](https://huggingface.co/bigscience/T0_3B) | 33.4 | 27.2 | 84.0 | 45.4 | 75.9 | 64.6 | 50.7 | 65.1 | 51.0 | 55.2 | |
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| hypertask_T0_3B (this model) | 41.7 | 30.1 | 96.9 | 72.7 | 89.1 | 81.2 | 51.7 | 57.2 | 59.2 | 64.4 | |
